I’m Arnav, a computer science student at Columbia University with a strong interest in systems programming, backend infrastructure and ML Previously worked at a defense tech startup building backend data pipelines for RF sensors In my free time I enjoy drumming and playing tennis
Education
Relevant Coursework: Advanced (Systems) Programming, Data Structures and Algorithms, Programming in Python, Linear Algebra, Multivariable Calculus, Probability and Statistics
Experience
Optimized ingestion of live drone data packet streams from sensors using WebSocket on a Flask + Next.js drone tracking dashboard
Collaborated with team to refactor a monolithic backend by restructuring database API endpoints and removing legacy code, decreasing codebase by ~3,000 lines
Implemented coordinate validation algorithms to filter out invalid packet data, resulting in smoother and more stable drone tracking
Deployed scalable test environment using simulated UDP data packets to benchmark system performance with up to 200 simultaneous drones
Projects
Better Canvas
Full stack Canvas LMS companion that centralizes assignments, grades, and course data behind a single dashboard.
Airdrums
Fine-tuned ML audio separation model to separate drums from uploaded songs so drummers can practice against drumless backing tracks
Remote Machine Monitoring System
Lightweight client-server platform that administers Windows machines with secure remote execution and process monitoring.
Stock Backtester
Python-based stock backtester that evaluates trading strategies on stock CSV data