Princeton University junior specializing in Electrical and Computer Engineering with a focus on Robotics and Cyber-Physical Systems. Demonstrated expertise in applying probability, optimization, and machine learning to create intelligent robotic systems. Proficient in Python, MATLAB, SQL, and data visualization tools, with a strong track record of converting complex datasets into actionable insights for diverse audiences.
Low-Rank Movie-Rating Recommender: reduced RMSE 11% via alternating least squares in NumPy. GridWorld Reinforcement-Learning Agent: implemented value & policy iteration; plotted convergence. 3-D Printed Robotic Arm: simulated kinematics in MATLAB; PID motion control in Python. Energy-Harvesting Door Mechanism: correlated foot-traffic counts with recovered electrical energy. FPGA Simon Game: coded memory game in Verilog for Cyclone V board. Clinical Research Collaborator: Contributed to oncology research manuscripts and Flatiron Health data proposals.
neural nets, gradient descent, model evaluation, datapaths, Verilog, Fourier & Laplace transforms, digital filtering, probability & statistics, optimization, Python, Java, C++, R, PowerShell, SQL, Tableau, Power BI, NumPy, SciPy, matplotlib, Excel, Arduino, sensors, 3-D printing, CAD