About Me
AI/ML Engineer | Full-Stack Builder
I'm a Master's student in Data Science at San Jose State University, specializing in Data Engineering. With a perfect 4.0 GPA from my B.Tech in Computer Science and hands-on experience at Amazon and Innomatics Research Labs, I build AI-powered systems that solve real-world problems.
At Amazon, I developed an end-to-end search query classification system processing 50,000+ queries using LLMs and built a sophisticated autocomplete system with Trie data structures. At Innomatics Research Labs, I engineered a sentiment analysis system achieving an F1-Score of 0.92 and created a GenAI code review application that reduced review time by 40%.
My expertise spans GenAI, RAG systems, Machine Learning, and Full-Stack Development. I've built 10+ production-grade projects including semantic search engines, distributed food delivery platforms, and intelligent transportation systems. I'm passionate about creating scalable, impactful solutions using cutting-edge technologies like LangChain, ChromaDB, Docker, Kubernetes, and AWS.
Skills & Expertise
Technologies and tools I work with regularly
AI/ML
95%Languages
90%Frameworks
92%Data & Cloud
88%Tools
85%Experience & Education
My professional journey and academic background
Software Development Engineer Intern
Amazon
Built end-to-end search query classification system processing 50K+ queries with LLM-powered categorization. Developed prefix-based autocomplete using Trie data structure with weighted relevance scoring.
Data Science Intern
Innomatics Research Labs
Engineered sentiment analysis system for 8,500+ product reviews achieving F1-Score of 0.92. Built Generative AI Code Review application reducing review time by 40%.
Master of Science in Data Science
San Jose State University
Specialization in Data Engineering | GPA: 3.5/4.0
Bachelor of Technology in Computer Science
Indus Institute of Technology & Engineering
GPA: 4.0/4.0