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India
1 year of experience
I am a high-performance Systems Engineer and Machine Learning Researcher, currently pursuing my B.Tech at IIT Bombay and specializing in AI & Data Science through the University of Tokyo GCI Program. My engineering philosophy centers on bridging rigorous mathematical optimization with sub-millisecond computing architectures. ► Portfolio & Projects: https://atharv-portfolio.apsc.workers.dev Currently, I serve as a Research Assistant (SURP) at IIT Bombay under Prof. Debabrata Maiti, designing data-efficient deep learning architectures through Brain-Inspired Neural Networks. Concurrently, as a Google Student Ambassador, I drive campus-wide AI engineering initiatives and multi-modal development. My technical foundation spans across three core domains: ✦ High-Performance Systems & Quant: Architected sub-millisecond C++ High-Frequency Trading (HFT) engines, multi-threaded stochastic risk models, and a C++ Graph Engine utilizing optimized Dijkstra algorithms for Bengaluru Traffic Police. ✦ Applied AI & Full-Stack Architecture: Engineered enterprise-grade asynchronous pipelines using Claude 3 Opus for automated insurance assessments, and built 'Lexi', an AI-powered clinical telemetry platform for dyslexic students. ✦ Algorithmic Problem Solving: Backed by an elite competitive programming background, achieving Codeforces Candidate Master (Peak: 1957) and ranking 42nd globally in the Jane Street Monthly Puzzle. Core Tech Stack: C++17/20 | Python (SciPy, Pandas) | PyTorch | React 19 | Docker & Microservices Key Milestones: ✦ Codeforces Candidate Master (Top 5 active at IIT Bombay) ✦ 3rd Place — IMC Pit Trading Challenge ✦ 5th Overall — IIT Bombay Algo General Championship ✦ Completed CS229 (Stanford) & Mathematics for ML (Imperial College London)