Vishal Sood is an independent AI developer and former senior scientific developer with a PhD in Statistical Physics and 20+ years of experience building production-grade computational systems for science. He led architecture and distributed workflows at EPFL’s Blue Brain Project, enabling petabyte-scale analyses for 50+ neuroscientists, and previously built a high-performance clinical genomics platform with a C++ backend at Saphetor. Comfortable across C++, Python, HPC, and modern ML tooling, he combines first-principles statistical modeling with pragmatic systems engineering to deliver end-to-end solutions. Recently he’s been shipping LLM-driven products and deploying a full-stack Claude-powered pipeline and Streamlit app on his own infrastructure, proving single-developer end-to-end delivery at small scale. His research record—16 publications including top journals—underscores deep quantitative instincts across protein dynamics, stochastic processes, and network models. Based near Lausanne with Swiss Permit C, he’s exploring JAX, physics-informed neural nets, and differentiable simulation to bridge scientific modeling and applied AI.
Contributions:2 PRs, 6 pushes, 2 branches in 5 months
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