Sahnik Biswas

I’m a full‑stack & AI engineer focused on turning prompts, documents, and real-world inputs into working products—fast. I love building end-to-end systems where retrieval, generation, and user experience come together cleanly.

Recently, I developed an AI medical chatbot that helps users discover nearby doctors based on symptoms, and I shipped dashboards that power city-wise listings with seat availability, booking rates, and pricing. At IntelliedTech, I built an AI video generation pipeline (Remotion + FFmpeg) that converts prompts into multi-scene videos, with an automated compile-and-fix loop to catch rendering failures before final stitching.

I also engineered a RAG chatbot using PDF-to-knowledge-graph ingestion and context-aware retrieval with MongoDB Vector Search, deployed as the core AI feature of Genify for ~1,000 active users. I manage deployments with Docker and streamline internal PDF workflows, partnering across a small team to deliver reliably with Next.js, TypeScript, Node.js, Express.js, MongoDB, and JWT/Auth.

In prior work, I built accessibility-focused features for dyslexic users in LexiShift—improving responsiveness through front-end optimizations and integrating dyslexia-friendly font rendering and AI-assisted reading. I approach projects with pragmatic engineering: iterate quickly, measure impact, and make the AI feel dependable for users.