I love building impactful solutions at the intersection of Cloud Infrastructure, Distributed Systems, Computer Architecture, and Artificial Intelligence. Through my academic background and internships at tech startups, I’ve built a solid foundation and gained hands-on experience while continuously learning and taking on new challenges. I’ve also been actively involved in several research projects, including ones funded by leading organizations like Intel and SRC. In addition to my technical experience, I’ve worked in customer-facing roles such as a Store Associate and in Operations and IT Support, where I developed strong communication, problem-solving, and customer interaction skills.
Master of Science in Computer Science
GPA: 3.9 / 4.0
Bachelor of Technology in Computer Science & Engineering
GPA: 9.2 / 10.0
Developed with Django, integrated AWS S3 and DynamoDB, used OpenAI API for auto captions, and enabled semantic search with Amazon OpenSearch.
Built with React, Vite, and Firebase. Allows real-time portfolio edits using Firebase Auth and Firestore.
Tracks public URL dislikes using Node.js, Redis, PostgreSQL, and AWS EC2. Real-time stats with Prometheus + Grafana.
ACM Transactions on Embedded Computing Systems (TECS), 2025 Read Paper
JEEE, 2023 Volume 2 | Issue 3 | 307-316; DOI: 10.33140/JEEE.02.03.14. Read Paper