About Me
Fullstack engineer (Python, Node.js, React/Next.js) who ships AI-integrated products end to end—from ingestion pipelines and LangChain RAG retrieval layers to production APIs and user-facing dashboards. Experience with LLM orchestration, vector search, and real-time data systems handling 900+ events/day. Seeking an Applied AI / Fullstack Engineer role building LLM-powered systems at scale.
Skills & Technologies
Work Experience
Software Engineer Intern
Built production React/Next.js interfaces for live users, managing component architecture, routing, and state management. Integrated frontend with REST APIs, improving page load and re-render costs by approximately 20% through request batching and optimized state flow. Collaborated with backend engineers to define API contracts and delivered features on a weekly release schedule.
Projects
AI Meeting / Video Assistant (RAG)
Built an end-to-end RAG pipeline with LangChain LCEL, composing retriever, prompt template, LLM, and output parser into a single streaming chain over YouTube and local media. Engineered a dual speech-to-text router for accurate code-switched Indic transcription.
OSINT Conflict Monitor
Built a real-time OSINT platform aggregating and visualizing conflict data from GDELT, ACLED, and RSS feeds. Architected cron ingestion pipelines processing 900+ events/day across multiple sources.
Ship Navigation Optimization System
Built a hybrid ML + A* route optimization engine reducing fuel consumption and transit time on long-haul routes. Trained models on geospatial data to predict traversal costs.
Education
B.Tech
Electronics and Communication Engineering