Full Stack Developer and AI Application Engineer with hands-on experience building production-grade web platforms and intelligent automation systems. Skilled in end-to-end delivery — from Agentic AI and RAG pipelines with LangChain and LangGraph to scalable backends in Java/Spring Boot and Django, secure payments, and SEO-optimized React/Next.js front ends. I combine strong engineering fundamentals with product thinking to ship context-aware, LLM-powered software from architecture to deployment.
Architected core modules of an Influencer Relationship Management platform for 500+ creators, built a LangChain/LangGraph agentic content pipeline (−60% drafting time) and a RAG layer (+40% relevance), and migrated the site to Next.js for +40% page-load performance.
Designed, built and deployed 3+ end-to-end apps with Django, JavaScript and PostgreSQL, engineered a Stripe payment system supporting international, multi-currency checkout, and optimized queries and deploys for +25% response times.
CGPA 8.96. Focused on software engineering, algorithms and data science while shipping real-world full-stack and AI projects.
Graduated at 80.13%, building the programming and systems fundamentals my engineering work is built on.
A cross-platform desktop app that lets non-technical users run automated data pipelines and heavy local analysis without writing code. A LangChain/LangGraph agent translates natural-language questions into queries, transforms and visualizations — cutting time-to-insight by 50% while keeping data on-device.
Role-based portal connecting students, recruiters and placement officers with job postings, application tracking and analytics. Spring Boot REST backend with JWT role auth and an Angular front end, containerized with Docker and deployed on a self-managed AWS server with CI/CD — automating drives for 1000+ students.
An AI-assisted, accessible learning platform for dyslexic and autistic students: distraction-free UI, audio/visual aids and dyslexia-friendly typography. An LLM recommendation layer adapts content difficulty and format per learner — WCAG 2.1 AA aligned, improving engagement by 30%.
National finalist among thousands of teams, building an AI-integrated full-stack solution for a real-world problem statement.
Maintaining a CGPA of 8.96 in B.E. Computer Science (Data Science) at Saraswati College of Engineering.