Rishabh Singh
AI Researcher at Stealth Post-LLM Startup
Menlo Park, California, United States
Summary
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Senior🎓
Top SchoolRishabh Singh is an AI researcher and senior machine learning engineer with 9 years of experience and a PhD in ML and uncertainty quantification, focused on building trustworthy, scalable AI for vision, geospatial, and physics-driven applications. He has delivered production-ready systems across industries—from underwriting wildfire risk models at an insurtech to 3D generative geological pipelines and FNO surrogates that sped up subsurface simulations 10–100x. His work on real-time uncertainty quantification and novel UQ methods has measurably improved false-prediction detection and calibration in safety-critical perception stacks. Comfortable across Python, Julia, C++, PyTorch and cloud GPU infrastructure, he pairs research-grade model design (diffusion transformers, PINNs, FNOs) with MLOps engineering to generate large synthetic datasets and high-throughput training pipelines. Notably, he has translated academic innovations into deployable impact—improving UAV detection range by 150%, reducing false positives substantially, and producing 100K+ multi-channel 3D geological samples on AWS. Based in Menlo Park, he’s now exploring post-LLM architectures at a stealth startup while continuing to push safe, physics-informed AI for autonomy and decision-making.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Vellore Institute of TechnologyDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Florida
English, HindiGithub contributions (5)
rish283/Sentiment-Analysis
Mar 2017 - Oct 2021
Contributions:3 pushes, 1 branch in 4 years 7 months
rish283/MNIST-CNN-Experiment
Feb 2017 - Oct 2021
Contributions:2 pushes, 1 branch in 4 years 8 months
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