Building scalable distributed systems and ML-powered solutions at Amazon Web Services. Passionate about performance optimization, full-stack development, and solving complex problems at scale.
I'm a Software Development Engineer at Amazon Web Services in Sunnyvale, CA, where I build distributed systems serving millions of requests. I specialize in full-stack development, machine learning, and performance optimization of large-scale infrastructure.
I graduated from the University of Massachusetts Amherst with a B.S. in Computer Science (Physics Minor). My experience spans from developing ML-powered automation agents that reduce operational toil by 20%, to building distributed load testing frameworks and optimizing caching layers for 50% latency reduction.
I'm passionate about solving complex technical challenges, from AI-powered applications to distributed systems architecture. Whether it's building full-stack features for API Gateway or creating intelligent automation tools, I thrive on turning ambitious ideas into production reality.
Years at AWS
Technologies
Production-ready AI stock analysis API combining FastAPI, Strands agents, and AWS infrastructure. Fetches real-time stock data from Yahoo Finance and analyzes stocks with market sentiment comparison.
Intelligent Retrieval-Augmented Generation system that extracts text from PDFs and answers questions using GPT-4. Features LangSmith observability for tracking, cost analysis, and debugging with intelligent chunking for optimal retrieval accuracy.
Y Combinator Hackathon project - Full-stack AI agent generating custom e-commerce websites from natural language prompts. Engineered prompt engineering pipeline and quality evaluation system achieving end-to-end automation.
End-to-end ML pipeline processing 160K+ tracks with data analysis tools, feature engineering, and visualization. Achieved 85% accuracy through systematic experiments and hyperparameter optimization.
Built distributed ML training system across 8 GPUs reducing training time by 35%. Profiled large-scale system performance and optimized memory patterns enabling 2.5x larger batch sizes.
Beyond software engineering, I'm a competitive chess player with tournament experience against titled players including Grandmasters and FIDE Masters.
⚪ Vian Yang vs ⚫ Aadit Bhatia
Analysis: A tactical masterpiece in the King's Indian Defense. Despite being in a tough position, I found creative resources leading to a dramatic draw by repetition. The game featured complex tactical sequences and demonstrated fighting spirit in a difficult position.
Amazon Web Services | Sunnyvale, CA | July 2024 - Present
• Built ML-powered oncall automation agent using Python—developed intelligent classification system reducing operational toil by 20% through NLP
• Developed full-stack Response Streaming feature for API Gateway serving millions of requests—designed control plane APIs and orchestrated data flow across distributed compute nodes
• Analyzed and optimized performance of distributed caching layer—debugged bottlenecks achieving 50% latency reduction
• Conducted code reviews across team ensuring best practices for performance, testability, and efficiency
Amazon Web Services | Sunnyvale, CA | June 2023 - Sept 2023
• Built distributed load testing framework for production system handling billions of requests—developed debugging tools and performance analysis capabilities for large-scale distributed computing
• Integrated automated test suite into CI/CD pipeline with real-time metrics, visualization tools, and monitoring—enabled continuous performance regression detection
B.S. Computer Science, Physics Minor | Graduated May 2024
Relevant Coursework: Machine Learning, Distributed Systems, Algorithms & Data Structures, Computer Systems (C), Search Engines, Natural Language Processing
Oracle | Denver, CO | May 2022 - Sept 2022
• Built Python-based data processing pipeline automating integration of 100+ workbooks—performed data analysis and visualization for large-scale systems optimization
• Developed workflow automation tools using Python and SQL, reducing manual errors and improving system efficiency across M&A data operations
I'm always open to discussing new projects, creative ideas, or opportunities to collaborate on innovative solutions.