All mentors

Siddharth Gupta

Head of Engineering, Generative AI, SageMaker Unified Studio

San Francisco, United States (-08:00 UTC) English, Hindifrom San Francisco, United States
Usually responds in 8 hours
Free
Price per hour
15 min30 min
Time Blocks Available
5.00
5 reviews / 7 sessions
Fri
16
Next availability

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.

Aggelos Mouzakitis

Siddharth helped me think about the scope of the MVP critically and laid out a framework to assess technical risks. It was very helpful.

Nimit B

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.

Foti Panagiotakopoulos

Bio

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.

Expertise

  • Artificial intelligence

    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.

  • Building a team

    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.

Experience

  • Open Source Projects

    Creator — Serverless GraphQL AppSync Plugin

    Github: https://github.com/sid88in/serverless-appsync-plugin | 8M+ NPM Downloads Creator and lead maintainer of serverless-appsync-plugin, a widely adopted Serverless Framework plugin that enables rapid deployment of AWS AppSync GraphQL APIs with minimal config. Delivered a production-grade plugin used across thousands of repos with 8M+ total npm downloads since 2018 and strong ongoing adoption thanks to a robust CLI and rich configuration support Built core features, CLI integrations, schema validation tooling, and documentation to simplify Serverless AppSync deployments. Grew an open-source community with ~950+ GitHub stars, ~90 contributors, and numerous integrations, driving adoption across serverless and GraphQL ecosystems. Led release strategy, versioning, and backward-compatibility planning with automated CI/CD. Also, Lead author of serverless-graphql (https://github.com/serverless/serverless-graphql), a community-referenced starter repository showcasing Serverless + GraphQL integration patterns (AWS AppSync, Apollo, DynamoDB, Lambda). Designed opinionated examples and best practices to accelerate GraphQL deployments with the Serverless Framework, helping developers go from zero to production-ready quickly. Authored documentation, guides, and examples used by hundreds of practitioners exploring GraphQL on serverless platforms. Helped maintain archived repository in conjunction with community feedback and tooling evolution.

  • Amazon Web Services

    Head of Engineering, Generative AI, AWS SageMaker Unified Experiences
    •aws.com

    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.

  • Amazon Web Services

    Engineering Manager, AWS Edge ML Services
    •aws.com

    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.

  • Twitch

    Lead Software Engineer
    •twitch.tv/

    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.

  • Glassdoor

    Lead Engineer
    •glassdoor.com

    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.

  • Yahoo

    Software Engineer

    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.

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