Snorkel co-founder focused on technical strategy and engineering (The Org lists him as Head of Engineering). Built the original open-source Snorkel library at Stanford.
low confidenceAt Snorkel AI since 2019Updated 2026-09-19
Background
Applied maths at Yale, then a master's in computational and mathematical engineering at Stanford, where he worked on Snorkel and data augmentation research. Previously tech lead of Facebook Applied AI's representation learning team.
What they run now
Engineering/technical strategy; appeared in a 2025-26 'Robotics & AI Infrastructure Leaders' talk, suggesting involvement in Snorkel's environment/robotics-data direction (unconfirmed).
Career
2019 – presentCo-founder; technical strategy & engineering, Snorkel AI
—Tech lead, representation learning, Facebook Applied AI
—Stanford University, MS, Computational and Mathematical Engineering
—Yale University, BS, Applied Mathematics
Recent posts
2 posts archived · most engaged first, then the latest
Excited to launch Senior SWE-Bench, an open-source benchmark that assesses agents as senior engineers on long-horizon tasks with realistically under-specified instructions. We expect agents to build real features going on just a quick Slack message, nothing like the super technical instructions most benchmarks provide. Senior SWE-Bench fixes that.
Claude Opus 4.8 is the current leader at 24% high quality solves, but it took 117K tokens on average to get there. GPT-5.5 earns the silver medal super efficiently (an average of only 36K tokens).
Senior SWE-Bench tasks represent open-ended feature design or tricky bug investigations in modern, multi-service repos. They’re long horizon and have instructions 1/3 the length of SWE-Bench Pro’s on average. We introduce new methods for adaptive runtime verification and global code quality assessment. And tasks go through multi-stage review to ensure high quality.
There’s lots more to dig into on lnkd.in/gVwkagkQ, including the blog with a look inside the tech and more analysis.
Huge shout out to the team from Snorkel AI (Vincent Sunn Chen), Princeton University (Karthik Narasimhan, Austin Wang), and University of Wisconsin-Madison (Frederic Sala, Gabriel Orlanski)!
If you need a break from figuring out which rate limits are resetting when, stop by Snorkel AI Reading Group on Wednesday. Going to be talking about Senior SWE-bench (lnkd.in/gVwkagkQ) and the next generation of coding evals. Should be a good time!
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