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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Data Access / Management & Operations (AI DevSummit) clear filter
Wednesday, May 28
 

11:00am PDT

PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, conference chair of the LF AI & Data Foundation, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne... Read More →
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage
  AI DevSummit

1:00pm PDT

KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.

Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

2:00pm PDT

OPEN Session: Evolving Databricks’ Kubernetes Infrastructure to Scale AI Workloads via Principled Platform Abstrac
Wednesday May 28, 2025 2:00pm - 2:25pm PDT
DeveloperWeek Leadership Expo Stage
Sourav Khandelwal, Databricks, Software Engineer

In the age of large-scale AI—where workloads like LLM model serving and Retrieval-Augmented Generation (RAG) demand massive compute capacity on short notice—efficient, reliable, and self-service infrastructure is essential. At Databricks, we faced the challenge of orchestrating a rapidly growing fleet of Kubernetes clusters spanning multiple clouds, regions, and use cases to power AI-driven solutions. The result was a patchwork of manual processes that were both costly in engineering hours and prone to human error.

In this session, you’ll learn how at Databricks, we overcame these challenges by building principled platform abstractions—clean, self-serve interfaces that application teams can use to provision, configure, and manage their Kubernetes clusters in a standardized, automated way. We’ll detail our journey from fragmented workflows to a scalable infrastructure platform that underpins products such as LLM model serving and RAG, allowing for quick, repeatable scale-out of AI-driven workloads.

We’ll also share the hard lessons learned, including the trade-offs between flexibility and uniformity, as well as strategies for ensuring consistent cluster management patterns across diverse environments. By highlighting how these platform abstractions free up engineering resources and streamline high-demand AI use cases, we’ll showcase how this approach accelerates product development cycles while simplifying day-to-day operations.
Speakers
avatar for Sourav Khandelwal

Sourav Khandelwal

Software Engineer, Databricks
I am a seasoned software engineer with over 12 years of experience in designing and managing large-scale platforms in cloud-native environments. At Databricks, I have led and contributed to several innovative projects that have scaled and automated our Kubernetes Compute Platform... Read More →
Wednesday May 28, 2025 2:00pm - 2:25pm PDT
DeveloperWeek Leadership Expo Stage
  AI DevSummit

3:30pm PDT

PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Main Stage
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 

AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Main Stage
  AI DevSummit

5:30pm PDT

AI/ML Panel: The Next Frontier in AI Development: Why Agent Experience (AX) Matters
Wednesday May 28, 2025 5:30pm - 6:20pm PDT
AI DevSummit Expo Stage
Dana Lawson, Netlify, CTO
Julianna Lamb, Stytch, Co-founder and CTO
Aiden Ba, Million.js, Founder
Sean Roberts, Netlify, Distinguished Engineer

Agent experience (AX) is the holistic experience AI agents will have as the user of a product or platform. AI agents are reshaping software development, but today’s developer tools and platforms weren't built for them. For AI agents to truly be effective, we need to craft our products with AX in mind. How do we design platforms, APIs, and workflows that help AI agents operate effectively? While DX optimized tools for humans, AX challenges us to rethink systems for AI-first development.
This panel brings together experts in AI infrastructure, developer tooling, and LLMs to discuss:
-Introduction to Agent Experience (AX)
-The current limitations of AI agents when building, deploying, and iterating software.
-How platforms might need to evolve to support AI-native workflows.
-The tensions between human-driven and AI-driven development—and what collaboration could look like.
-The early signs of AX in today’s AI-powered development landscape.
Speakers
avatar for Aiden Ba

Aiden Ba

Founder, Million.js
avatar for Julianna Lamb

Julianna Lamb

Co-founder and CTO, Stytch
avatar for Dana Lawson

Dana Lawson

CTO, Netlify
avatar for Sean Roberts

Sean Roberts

Distinguished engineer, Netlify
Wednesday May 28, 2025 5:30pm - 6:20pm PDT
AI DevSummit Expo Stage
 
Thursday, May 29
 

9:30am PDT

OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage
Abhai Pratap Singh, Amazon, Senior Product Manager-Technical

"From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation" explores the delicate balance between advancing AI capabilities and maintaining genuine user value. Drawing from experience leading Alexa's voice assistant development, this session reveals practical strategies for putting user needs at the center of AI product development. Learn how to avoid the trap of 'tech for tech's sake' while driving meaningful innovation. Through real-world examples from voice AI and multi-modal interactions, discover frameworks for evaluating AI features, measuring user impact, and making strategic decisions that enhance rather than complicate the user experience. Perfect for product leaders navigating the AI revolution.
Speakers
avatar for Abhai Pratap Singh

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon
Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage
  AI DevSummit

11:30am PDT

OPEN Session: Efficient Serverless Inferencing: Scaling and Optimization
Thursday May 29, 2025 11:30am - 11:55am PDT
AI DevSummit Expo Stage
Yann Léger, Koyeb, Co-Founder

Today, AI Infrastructure doesn’t rhyme with efficiency. Massive investments are made in GPUs sold mainly by a single vendor and these GPUs end up underused due to poor software solutions.

This is not a fatality and we, as an industry, are working on increasing average utilization and increasing diversity of accelerators. I’ll walk you through the different technical solutions to implement Serverless Inferencing and the trade-offs, from the chips to the virtualization software through the storage layers.
Speakers
avatar for Yann Léger

Yann Léger

Co-Founder, Koyeb
Yann Leger is co-founder of Koyeb, a serverless platform for AI workloads, and spent the last 12 years building large-scale cloud service providers from scratch.Passionate about cloud computing, he has a deep understanding of the underlying infrastructure, from data centers to the... Read More →
Thursday May 29, 2025 11:30am - 11:55am PDT
AI DevSummit Expo Stage
  4. Hackathon

1:30pm PDT

OPEN Session: Agents Are Coming - Is Your Platform Ready?
Thursday May 29, 2025 1:30pm - 1:55pm PDT
AI DevSummit Expo Stage
John McBride, Zuplo, Staff Engineer

In 2025, one of your fastest growing user bases will be AI Agents. They will autonomously interact with your system to extract data and perform operations. For some companies - this is a threat that needs to be controlled. For others, its an opportunity to allow customers to interact with your systems in a novel way.

In either case - you need to govern how agents interact with your fintech - you need APIs. APIs will determine what resources AI has access to, how it can access that data, and what it can do with it. Your API needs to be understandable by agents, have enough features so they can accomplish their tasks, and robust enough to handle automated traffic at scale.

In this workshop, Adrian will walk through how to build and manage AI Agent ready APIs.
Speakers
avatar for John McBride

John McBride

Staff Engineer, Zuplo
John McBride is an engineering leader, writer, and podcast host. He is current a Staff Engineer at Zuplo where he's heading up new AI and infrastructure development.He has previously worked on AI infrastructure at the Linux Foundation, AI/ML community tooling at OpenSauced, Linux... Read More →
Thursday May 29, 2025 1:30pm - 1:55pm PDT
AI DevSummit Expo Stage
  AI DevSummit

2:30pm PDT

PRO Session: Building Robust Data Pipelines for Scalable Machine Learning
Thursday May 29, 2025 2:30pm - 2:55pm PDT
AI DevSummit Main Stage
Rachita Naik, Lyft, Machine Learning Engineer

This session will provide a comprehensive, hands-on guide to designing efficient, production-ready data pipelines for machine learning model training. Tailored for engineers, ML practitioners, and architects, this talk will break down key technical aspects of data processing, feature management, and pipeline optimization at scale.
Key takeaways include -
1. Optimized Data Ingestion: Efficiently processing real-time and batch data from multiple sources while minimizing latency and ensuring smooth data flow for ML models.
2. Reusable & Scalable Features: Designing centralized feature stores that enable cross-model sharing, reduce redundancy, and support large-scale ML operations.
3. Robust Data Preprocessing: Implementing techniques to clean, transform, and structure raw data, ensuring high-quality inputs that improve model accuracy and efficiency.
4. Ensuring Data Consistency: Maintaining parity between offline training and real-time inference by preventing schema mismatches, data drift, and inconsistencies.
5. Proactive Monitoring & Debugging: Using automated tracking, anomaly detection, and logging to identify bottlenecks, optimize pipeline performance, and ensure data reliability.

This session will combine technical deep dives with real-world lessons from deploying ML pipelines at scale in rideshare applications. Whether you’re designing your first ML pipeline or optimizing existing workflows, you’ll walk away with practical strategies to enhance data efficiency, model reliability, and overall system performance.
Speakers
avatar for Rachita Naik

Rachita Naik

Machine Learning Engineer, Lyft
Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a distinguished graduate of Columbia University. With a strong foundation in AI and two years of professional experience, she is dedicated to creating transformative solutions that address complex, real-world challenges... Read More →
Thursday May 29, 2025 2:30pm - 2:55pm PDT
AI DevSummit Main Stage
  AI DevSummit
 
Wednesday, June 4
 

11:00am PDT

[Virtual] PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, conference chair of the LF AI & Data Foundation, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

12:00pm PDT

[Virtual] OPEN Session: Efficient Serverless Inferencing: Scaling and Optimization
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
VIRTUAL DeveloperWeek Leadership Main Stage
Yann Léger, Koyeb, Co-Founder

Today, AI Infrastructure doesn’t rhyme with efficiency. Massive investments are made in GPUs sold mainly by a single vendor and these GPUs end up underused due to poor software solutions.

This is not a fatality and we, as an industry, are working on increasing average utilization and increasing diversity of accelerators. I’ll walk you through the different technical solutions to implement Serverless Inferencing and the trade-offs, from the chips to the virtualization software through the storage layers.
Speakers
avatar for Yann Léger

Yann Léger

Co-Founder, Koyeb
Yann Leger is co-founder of Koyeb, a serverless platform for AI workloads, and spent the last 12 years building large-scale cloud service providers from scratch.Passionate about cloud computing, he has a deep understanding of the underlying infrastructure, from data centers to the... Read More →
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
VIRTUAL DeveloperWeek Leadership Main Stage
  4. Hackathon

12:00pm PDT

[Virtual] PRO Session: The Next Frontier in AI Development: Why Agent Experience (AX) Matters
Wednesday June 4, 2025 12:00pm - 12:50pm PDT
VIRTUAL AI DevSummit Main Stage
Dana Lawson, Netlify, CTO
Julianna Lamb, Stytch, Co-founder and CTO
Aiden Ba, Million.js, Founder
Sean Roberts, Netlify, Distinguished Engineer

Agent experience (AX) is the holistic experience AI agents will have as the user of a product or platform. AI agents are reshaping software development, but today’s developer tools and platforms weren't built for them. For AI agents to truly be effective, we need to craft our products with AX in mind. How do we design platforms, APIs, and workflows that help AI agents operate effectively? While DX optimized tools for humans, AX challenges us to rethink systems for AI-first development.
This panel brings together experts in AI infrastructure, developer tooling, and LLMs to discuss:
-Introduction to Agent Experience (AX)
-The current limitations of AI agents when building, deploying, and iterating software.
-How platforms might need to evolve to support AI-native workflows.
-The tensions between human-driven and AI-driven development—and what collaboration could look like.
-The early signs of AX in today’s AI-powered development landscape.
Speakers
avatar for Aiden Ba

Aiden Ba

Founder, Million.js
avatar for Julianna Lamb

Julianna Lamb

Co-founder and CTO, Stytch
avatar for Dana Lawson

Dana Lawson

CTO, Netlify
avatar for Sean Roberts

Sean Roberts

Distinguished engineer, Netlify
Wednesday June 4, 2025 12:00pm - 12:50pm PDT
VIRTUAL AI DevSummit Main Stage

1:00pm PDT

[Virtual] KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.

Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

2:00pm PDT

[Virtual] OPEN Session: Evolving Databricks’ Kubernetes Infrastructure to Scale AI Workloads via Principled Platform Abstrac
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
Sourav Khandelwal, Databricks, Software Engineer

In the age of large-scale AI—where workloads like LLM model serving and Retrieval-Augmented Generation (RAG) demand massive compute capacity on short notice—efficient, reliable, and self-service infrastructure is essential. At Databricks, we faced the challenge of orchestrating a rapidly growing fleet of Kubernetes clusters spanning multiple clouds, regions, and use cases to power AI-driven solutions. The result was a patchwork of manual processes that were both costly in engineering hours and prone to human error.

In this session, you’ll learn how at Databricks, we overcame these challenges by building principled platform abstractions—clean, self-serve interfaces that application teams can use to provision, configure, and manage their Kubernetes clusters in a standardized, automated way. We’ll detail our journey from fragmented workflows to a scalable infrastructure platform that underpins products such as LLM model serving and RAG, allowing for quick, repeatable scale-out of AI-driven workloads.

We’ll also share the hard lessons learned, including the trade-offs between flexibility and uniformity, as well as strategies for ensuring consistent cluster management patterns across diverse environments. By highlighting how these platform abstractions free up engineering resources and streamline high-demand AI use cases, we’ll showcase how this approach accelerates product development cycles while simplifying day-to-day operations.
Speakers
avatar for Sourav Khandelwal

Sourav Khandelwal

Software Engineer, Databricks
I am a seasoned software engineer with over 12 years of experience in designing and managing large-scale platforms in cloud-native environments. At Databricks, I have led and contributed to several innovative projects that have scaled and automated our Kubernetes Compute Platform... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL DeveloperWeek Leadership Expo Stage
  AI DevSummit

3:30pm PDT

[Virtual] PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 


AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit
 
Thursday, June 5
 

9:30am PDT

[Virtual] OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
Abhai Pratap Singh, Amazon, Senior Product Manager-Technical

"From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation" explores the delicate balance between advancing AI capabilities and maintaining genuine user value. Drawing from experience leading Alexa's voice assistant development, this session reveals practical strategies for putting user needs at the center of AI product development. Learn how to avoid the trap of 'tech for tech's sake' while driving meaningful innovation. Through real-world examples from voice AI and multi-modal interactions, discover frameworks for evaluating AI features, measuring user impact, and making strategic decisions that enhance rather than complicate the user experience. Perfect for product leaders navigating the AI revolution.
Speakers
avatar for Abhai Pratap Singh

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon
Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

12:30pm PDT

[Virtual Exclusive] OPEN Session: Beyond Model Optimization: Rethinking AI Pipeline Efficiency
Thursday June 5, 2025 12:30pm - 12:55pm PDT
VIRTUAL AI DevSummit Expo Stage
Shashidhar Shenoy, Google, Tech Lead
Achyut Sarma Boggaram, Torc Robotics, Sr. Machine Learning Engineer

AI teams focus heavily on model optimization—distillation, pruning, and quantization—yet still face high costs, scaling challenges, and deployment inefficiencies. The missing piece? Pipeline optimization.

This session introduces a pipeline-first approach to AI scalability, showcasing how Dagster, Ray, and Kubernetes-native tools can optimize ML pipelines.

Shift from model-centric to pipeline-aware AI infrastructure to build faster, cost-effective, and scalable ML systems.
Speakers
avatar for Achyut Sarma Boggaram

Achyut Sarma Boggaram

Sr. Machine Learning Engineer, Torc Robotics
As a Sr. Machine Learning Engineer at Torc Robotics, I am building critical ML infrastructure for the L4 self-driving class-8 trucks, paving the way for safer transportation of freight.I have a decade of experience in delivering impactful robotics solutions across various industries... Read More →
avatar for Shashidhar Shenoy

Shashidhar Shenoy

Tech Lead, Google
Shashidhar Shenoy is a software engineer and technical leader specializing in distributed systems, AI/ML infrastructure, and scalable authentication platforms. With over a decade of experience, he has led high-impact projects, including optimizing cloud infrastructure for AI/ML workloads... Read More →
Thursday June 5, 2025 12:30pm - 12:55pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:30pm PDT

[Virtual] OPEN Session: Agents Are Coming - Is Your Platform Ready?
Thursday June 5, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Expo Stage
John McBride, Zuplo, Staff Engineer

In 2025, one of your fastest growing user bases will be AI Agents. They will autonomously interact with your system to extract data and perform operations. For some companies - this is a threat that needs to be controlled. For others, its an opportunity to allow customers to interact with your systems in a novel way.

In either case - you need to govern how agents interact with your fintech - you need APIs. APIs will determine what resources AI has access to, how it can access that data, and what it can do with it. Your API needs to be understandable by agents, have enough features so they can accomplish their tasks, and robust enough to handle automated traffic at scale.

In this workshop, Adrian will walk through how to build and manage AI Agent ready APIs.
Speakers
avatar for John McBride

John McBride

Staff Engineer, Zuplo
John McBride is an engineering leader, writer, and podcast host. He is current a Staff Engineer at Zuplo where he's heading up new AI and infrastructure development.He has previously worked on AI infrastructure at the Linux Foundation, AI/ML community tooling at OpenSauced, Linux... Read More →
Thursday June 5, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

2:30pm PDT

[Virtual] PRO Session: Building Robust Data Pipelines for Scalable Machine Learning
Thursday June 5, 2025 2:30pm - 2:55pm PDT
VIRTUAL AI DevSummit Main Stage
Rachita Naik, Lyft, Machine Learning Engineer

This session will provide a comprehensive, hands-on guide to designing efficient, production-ready data pipelines for machine learning model training. Tailored for engineers, ML practitioners, and architects, this talk will break down key technical aspects of data processing, feature management, and pipeline optimization at scale.
Key takeaways include -
1. Optimized Data Ingestion: Efficiently processing real-time and batch data from multiple sources while minimizing latency and ensuring smooth data flow for ML models.
2. Reusable & Scalable Features: Designing centralized feature stores that enable cross-model sharing, reduce redundancy, and support large-scale ML operations.
3. Robust Data Preprocessing: Implementing techniques to clean, transform, and structure raw data, ensuring high-quality inputs that improve model accuracy and efficiency.
4. Ensuring Data Consistency: Maintaining parity between offline training and real-time inference by preventing schema mismatches, data drift, and inconsistencies.
5. Proactive Monitoring & Debugging: Using automated tracking, anomaly detection, and logging to identify bottlenecks, optimize pipeline performance, and ensure data reliability.

This session will combine technical deep dives with real-world lessons from deploying ML pipelines at scale in rideshare applications. Whether you’re designing your first ML pipeline or optimizing existing workflows, you’ll walk away with practical strategies to enhance data efficiency, model reliability, and overall system performance.
Speakers
avatar for Rachita Naik

Rachita Naik

Machine Learning Engineer, Lyft
Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a distinguished graduate of Columbia University. With a strong foundation in AI and two years of professional experience, she is dedicated to creating transformative solutions that address complex, real-world challenges... Read More →
Thursday June 5, 2025 2:30pm - 2:55pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit
 
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