ML engineer and quantitative analyst in energy. M.S. AI Engineering at Carnegie Mellon (Dec 2026), previously Senior Data Scientist at Gentari (PETRONAS), most recently on the load forecasting desk at Five Dimensions Energy, a proprietary power trading firm in the PJM market.
⚡ Power markets: production day ahead load forecasting, real time zonal forecasts with uncertainty bands, data center load intelligence
☀️ Clean energy ML: solar forecasting that beat vendor accuracy in production, inverter fault detection, private RAG systems
MCP servers and agent infrastructure I build and maintain with the team:
tigl-mcp · su2-mcp · pycycle-mcp · aviary-cpacs-mcp · nseg-mcp · agent-mcp · aircraft-analysis · agentic-bench
📄 Structure Based Learning for Robust Defense Against Adversarial Attacks in Autonomous Driving Agents — CVIP 2022 (Springer)
📄 An NFNet Based Approach for Enhanced Bearing Fault Classification Using Vibrational Signal Analysis — ICCCNT 2023 (IEEE)
📄 TransForm Motor: A Vision Transformer Transfer Learning Framework for Bearing Fault Detection — ICAET (accepted)
🌐 Portfolio · 💼 LinkedIn · 🎧 What I listen to
