AI DevSummit 2025 + DeveloperWeek Leadership 2025: Full Schedule

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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

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

Additional Topics AI Product Strategy, AI Integration Strategy, Data Engineering, Product Management and Engineering Alignment
Session Type OPEN Session
Tracks AI DevSummit, OPEN Session, AI Leadership & Strategy (AI DevSummit), Frameworks / Tools & Applied AI (AI DevSummit), Virtual, DeveloperWeek Leadership, Data Access / Management & Operations (AI DevSummit), Productizing AI (AI DevSummit)
In-Person/Virtual Virtual

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

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 →

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

Session Type OPEN Session
Tracks AI DevSummit, OPEN Session, Virtual, Frameworks / Tools & Applied AI (AI DevSummit), Data Access / Management & Operations (AI DevSummit)
In-Person/Virtual Virtual, Virtual Exclusive

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

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

Session Type OPEN Session
Tracks OPEN Session, AI DevSummit, AI Security / Ethics / Governance & Compliance (AI DevSummit), Data Access / Management & Operations (AI DevSummit), Virtual
In-Person/Virtual Virtual

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

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

Additional Topics Machine Learning
Session Type PRO Session
Tracks AI DevSummit, Machine Learning / Models & Architectures (AI DevSummit), Data Access / Management & Operations (AI DevSummit), Virtual
In-Person/Virtual Virtual