Who am I?
backendAI/ML Passion for building scalable software.
Computer Science undergraduate working across Java, Python, SQL, and Flask to ship AI-powered systems — semantic search, hybrid ranking pipelines, authentication, and cloud deployment. Incoming Backend AI Engineer at FlyRank.ai.
About
A scalable two-stage candidate ranking pipeline that filters over 100K candidates using rule-based heuristics before semantic reranking with transformer embeddings. Built modular scoring components with configurable weighted ranking, cosine similarity search, and optimized NumPy vector operations. Dockerized and deployed on Hugging Face Spaces with model caching to reduce inference latency.
A secure password manager with authentication and session management built on Flask, bcrypt, and Flask-Login. Responsive front-end achieving a 75/100 mobile Lighthouse score and a 2.1s Largest Contentful Paint. Open-sourced with 100% PEP 8 compliance across 73 commits, deployed via Vercel with a continuous deployment pipeline and 99.9% uptime.