A mechanical engineering copilot that helps CAD teams untangle decades of historic workflow.
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Co-Founder // CTO
Tandem
Jul 2025 - Present · San Francisco
Building AI copilot for mechanical engineers
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Jun 2025 - Aug 2025 · 3 mos · Mountain View, CA
Firebase, Cloud
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Jun 2025 - Aug 2025 · 3 mos · Mountain View, CA
Built AI doc verification systems for clients like JP Morgan
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May 2025 - Jul 2025 · 3 mos
Predictive financial modeling
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Sep 2024 - Nov 2024 · 3 mos · Lexington, MA · Remote
ML optimization in plasma fusion
SELECTED
FRAMES
RESEARCH & WRITING
Machine Learning Applications in Plasma Fusion
SSRN Paper ID: 4943275 · 2025
Research on ML optimization techniques for plasma fusion control systems, conducted at MIT Lincoln Laboratory.
Utilizing Machine Learning to Optimize Nuclear Energy Fusion in Reactors
By Lokesh Kamanboina · Amazon Kindle · ISBN: B0DNYTL6SK · 2025
Investigates how ML models predict and optimize plasma stability in fusion reactors. Using Random Forest and Gradient Boosting algorithms to analyze plasma parameters, we tackle disruption prediction with reinforcement learning and synthetic data generation for real-time reactor control systems.