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Kevin Stumpf
Professional with extensive experience in multiple industries
Kevin Stumpf is a prominent figure in the technology and investment sectors, currently serving as a Sequoia Capital Scout since May 2020. In this role, he focuses on early-stage investments, particularly in Pre-Seed, Seed, and Series A funding rounds through Sequoia's scout program, which identifies promising startups for investment opportunities in the San Francisco Bay Area.1
In addition to his scouting role, Stumpf is the Co-Founder, CTO, and Head of Product at Tecton, an enterprise feature store for machine learning that addresses data challenges associated with deploying machine learning in production environments. Tecton has received backing from notable investors including Sequoia Capital and Andreessen Horowitz.1
Stumpf has a rich background in engineering and entrepreneurship. Before Tecton, he held various engineering management positions at Uber, where he led software engineering teams on their machine learning platform. His experience also includes founding Dispatcher, Inc., a logistics platform for long-haul trucking.1
He earned his MBA from the Stanford Graduate School of Business (2013-2015) and has a history of working on innovative software solutions across different companies and projects.1
Highlights
Are you taking advantage of embeddings in your AI or real-time decisioning applications?
Embeddings are crucial for diverse real-time decisioning systems such as:
- RAG applications
- Recommendation Systems
- Content Search
- Fraud Detection
Tech giants like Atlassian, Block & Stripe have been using them for years. Now, Tecton is making this technology accessible to all. We're excited to announce our new high-scale embeddings inference system, available to all Tecton customers.
It offers:
- A seamless developer experience
- High throughput
- Low infrastructure costs
It's built on OSS giants like DuckDB, PyTorch, Arrow & Ray. Big shoutout to Brian H. and Brian Seo for their fantastic work! Want a peek under the hood? Check out
Do you love working on the cutting edge of solving actual enterprise problems with AI and ML? Problems as varied as fraud detection, anti money laundering, loan decisioning systems, search ranking, recommendation systems, LLM-based personalization and much much more? And do you get excited by dreaming up intuitive and beautiful technical products for Data Scientists and ML engineers?
If that sounds like you, or someone you know, then I have great news: I'm hiring for a lead Product Designer on my team :) In this role, you will work super closely with an insanely talented (and kind :)) team of engineers and product managers who built ML platforms and distributed systems at companies like Lyft, Uber, Twitter, Facebook, Google and many more! Ping me directly or apply on our website: https://lnkd.in/gT5s3r7z
