I build backend systems and ML infrastructure that scale to millions of users. Just completed my MS in Computer Science at UMass Amherst (May 2025), including a capstone project with Meta where I generated 100K+ diverse personas using zero-shot/few-shot prompting for LLM training, accelerated inference throughput by 40% through async multiprocessing, and fine-tuned LLaMA models using LoRA.
The intersection of distributed systems and AI. I'm passionate about building infrastructure that makes ML systems production-ready at scale. Whether it's handling 50K requests per minute or optimizing LLM inference, I care about performance, reliability, and real-world impact.
Full-time Backend Engineer or ML Engineer roles. I'm particularly interested in companies building LLM infrastructure and AI applications, distributed systems at scale, and roles that blend systems engineering with machine learning.
Extern — Capstone Project
Software Engineer – Backend Distributed Systems
Software Engineer – Backend Systems
Software Engineering Intern
Machine Learning Intern
Master of Science: Computer Science
Coursework: Distributed Systems, Advanced NLP, Systems for Deep Learning, Reinforcement Learning, Software Engineering
Highlights:
Bachelor of Technology: Computer Science and Engineering
Coursework: Data Structures & Algorithms, Operating Systems, Machine Learning, Databases, Web Development
Built AI research assistant with FastAPI and Next.js 15, integrating Exa API for web search and Cerebras Cloud (Llama 4) for real-time streaming analy...
Explored and evaluated a question-answering paradigm for Emotion-Cause Pair Extraction (ECPE) as part of SemEval 2024 Task 3. Introduced innovative me...
Implemented and benchmarked advanced reinforcement learning algorithms including REINFORCE with Baseline, One-Step Actor-Critic, PPO, and N-step SARSA...
Built URL shortening service in Go with PostgreSQL backend, implementing short code generation algorithm, 302 redirect functionality, and custom slug...