Computer Science undergraduate focused on building and exploring real-world software systems across web development and backend infrastructure.
My work often involves investigating backend infrastructure, evaluating tradeoffs, and iterating on practical solutions — especially where performance, reliability, and correctness matter.
- ai-podcast-rag — RAG application that summarizes a youtube video and produces clickable links with timestamps
- ApplyTrack (work in progress) — Full-stack placement and job application management system with jwt auth
Languages: Java, Python
Backend: Spring Boot, PostgreSQL, REST APIs
Web: React
B.E. Computer Science — Neil Gogte Institute of Technology (Expected 2029)
Harvard CS50x (2025)
- Email: ettikalasriram@outlook.com
- LinkedIn: Sriram Ettikala
- Leetcode: strink
- Codeforces: str1nk
Most repositories here are experimental, exploratory, or evolving.
I enjoy working on problems that sit between backend engineering and applied intelligence.