Rajarshi Sahoo

I’m a detail-oriented Computer Science Engineering student specializing in backend architecture, asynchronous API design, and localized AI pipeline integration. I build high-performance, low-latency applications and focus on making systems reliable under real constraints.

On the backend side, I work comfortably with Python (FastAPI/Django) and Node.js, designing RESTful APIs that handle asynchronous workflows cleanly. I also use strong fundamentals in Data Structures & Algorithms, Operating Systems, and Core Networking to make performance and correctness a priority.

I’ve built projects that combine engineering with privacy and on-device intelligence, like an offline AI mental health assistant (emotion detection and response generation) using a CNN and a local LLaMA 3 integration. I also developed a facial recognition attendance system that uses computer vision techniques plus GPS validation to reduce manual roll calls through automated verification.

For data workflows, I created a modular web scraping and data extraction pipeline to pull high-yield unstructured text from multiple domains while handling anti-bot mitigations. My approach emphasizes request configuration, deliberate pacing, strict data sanitization/parsing, and runtime error logging—so outputs are production-ready and easy to trust.