Head of Engineering, Generative AI, SageMaker Unified Studio
Amazing session with Siddharth and exactly what I asked and needed: brutally honest feedback. He helped me discover a lot of blind spots and I will definitely come back again.
Siddharth helped me think about the scope of the MVP critically and laid out a framework to assess technical risks. It was very helpful.
Siddharth was exceptional to speak with. Super sharp, articulate, and deeply knowledgeable about generative AI systems and architecture. He quickly understood the GrowthMentor AI matching framework and added clear, thoughtful insights around scalability, privacy, and trust loops. I appreciated how he challenged assumptions while keeping the conversation practical and founder-friendly. His ideas on conversational UX, agent frameworks, and data design patterns were especially valuable. What stood out most was how generous he was with his expertise, collaborative, curious, and genuinely helpful. I left the call feeling clearer, inspired, and better equipped to refine our AI architecture. Highly recommend Siddharth.
Previously, I built large-scale systems at Yahoo Gemini Ads (helping it scale into a $300M+ business in year one), Glassdoor, and Twitch, and my open-source work—Serverless GraphQL Plugins—has been downloaded over 7.5M times. I bring a cross-industry perspective spanning AI/ML, ads, data infrastructure, and developer tools, and I’m passionate about mentoring founders on scaling AI products, data strategy, and technical execution for growth.
I specialize in building and scaling AI and machine learning platforms, with a focus on Generative AI, agentic systems, and data/ML infrastructure. At AWS, I lead the engineering of SageMaker Unified Studio, launched at re:Invent 2024, which provides developers and data scientists with unified tools to build, deploy, and integrate AI at scale. Previously, I helped launch AWS Panorama, bringing machine learning to the edge for industries like retail and manufacturing.
I focus on creating the right culture: clarity of mission, ownership, and continuous learning. I’ve successfully led teams across geographies, navigating ambiguity and aligning multiple stakeholders, while ensuring that execution remains fast and customer-focused. I have also guided new graduates and early-career engineers into leadership roles, emphasizing structured mentorship and career growth.
Led teams building Generative AI and Data/ML Notebook experiences within SageMaker Unified Studio, a platform unveiled at AWS re:Invent 2024. Drove the launch of agentic AI experiences enabling autonomous task execution, and helped shape a unified interface for data scientists and developers to build and deploy AI at scale.
Built and launched AWS Panorama, Amazon’s edge machine learning service, announced in 2020 and GA in 2021. Guided design and engineering of video analytics solutions at the edge, helping enterprises apply ML to cameras and on-premises devices, driving real-world impact in manufacturing, retail, and smart city deployments.
Developed large-scale experimentation and ad systems at Twitch, supporting a platform with millions of daily active users. Optimized ad targeting and measurement systems to improve monetization, while ensuring experimentation frameworks scaled with Twitch’s rapid growth in live video traffic.
Designed and scaled Glassdoor’s data infrastructure and analytics pipelines, enabling actionable insights for product, marketing, and executive teams. Creator of Serverless GraphQL Plugins, with 7.5M+ total downloads and 30K+ weekly active users. Widely adopted across the developer community to simplify deploying GraphQL APIs on serverless architectures.
Early engineer on Yahoo Gemini Ads, Yahoo’s unified mobile search and native ads platform that grew to a $300M+ business in year one. Built revenue monitoring systems preventing six-figure losses, optimized terabyte-scale ETL pipelines, and influenced adoption of real-time analytics tools like Druid and Superset across Yahoo Ads.