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Data Scientist
June 14, 2026 – Present
Circadian-Endocrine-Synchronization-Under-Stress
June 6, 2026 – Present
Circadian-Endocrine Synchronization Under Stress
View ProjectRegime-Shift-Analysis
April 10, 2026 – Present
Ran Uber’s open-source Orbit library on Citi Bike 2023 dataset, New York City’s bike share system.
View ProjectFPGA-Based-Matching-Engine
April 9, 2026 – Present
Implemeneting a deterministic, nanosecond-latency matching engine using FPGA-oriented data structures
View ProjectGridAlpha
April 7, 2026 – Present
Knowledge Graph–Driven Energy Market Intelligence Engine
View ProjectReal-Time-Energy-Market-Microstructure-Trading-Engine
April 7, 2026 – Present
How do you trade electricity/gas markets under volatility, constraints, and latency?
View ProjectNuclear-Reactor-Criticality-Prediction
October 8, 2025 – October 8, 2025
We will build a machine learning model that acts as a surrogate for the slow physics simulator. It will learn the complex relationship between the reactor's physical parameters and the resulting k_eff. The model will take the reactor design as input and predict k_eff almost instantly.
View ProjectEPICCS-simulation-module
February 26, 2025 – February 26, 2025
Arduino Car Simulation for Stubble Management | AI + ML-powered Field Coverage Optimization An interactive website featuring an Arduino-powered autonomous car that disperses Pusa Bio Decomposer over fields using Q-learning & DQN for AI-driven navigation. Includes a 3D simulation, real-time dashboard.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research-grade and complex problem-solving, which could indicate a good fit for an innovative and challenging environment. The diversity of project domains (physics, robotics, finance, energy) suggests adaptability and a broad interest in applying data science techniques across different fields. However, the 'experienceLevel' is 0, and the only listed experience is 'Data Scientist' at 'home' starting in the future, which makes it difficult to assess real-world team collaboration or professional work ethic.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.