Yugesh Kothari is a founder and PhD-trained computer scientist based in Lausanne with eight years of experience building reliable software, leading engineering teams, and shipping production-grade systems. His research at EPFL and Max Planck blends formal verification, symbolic execution, and practical toolchains—work that produced peer-reviewed results (CAV) and tangible artifacts like an eBPF interpreter for kernel-safety checks. He has repeatedly bridged academia and startups, scaling tech teams and product delivery from his tech-lead role at PeakMind to founding and leading early-stage companies including SigIQ.ai and a current stealth venture. Comfortable across full-stack development, DevOps, and verification pipelines, he focuses on making complex software systems provably safer and more robust. Notably, he has applied abstract interpretation and symbolic techniques to verify hybrid systems that include neural components, a niche combining formal methods with ML-driven control. His background from IIT Kanpur to EPFL reflects a track record of turning deep research into practical engineering outcomes.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD Computer Systems Analysis, Doctor of Philosophy - PhD Computer Systems Analysis at EPFL
Contributions:3 reviews, 9 commits, 3 PRs in 10 months
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