I'm Rishabh Jain — a MERN stack developer who takes ideas from a blank repo to a deployed, monitored, actually-used product. Recent work spans career-guidance AI, gamified habit systems, and automated trip planning.
I'm a Computer Engineering student at Poornima Institute of Engineering & Technology (CGPA 8.4), and I spend most of my time outside class shipping full products rather than tutorials. My last internship had me writing production code alongside the founder from week one.
What I actually enjoy is the seam between a normal web app and an AI feature that makes it useful — resume scoring that reads a real PDF, a mock interviewer that listens and talks back, an automation that recalibrates a plan every week without anyone asking it to.
Right now I'm going deeper into LangChain and n8n to make that automation layer smarter, while keeping the fundamentals — DSA, system design, clean APIs — sharp.
An AI career copilot that generates personalised month-by-month roadmaps. Includes a Skill Gap Analyzer, an AI Resume ATS Scorer built on pdf-parse + Groq, a turn-based AI mock interview using the Web Speech API with Groq-scored feedback, and an n8n workflow that recalibrates the plan weekly. Deployed on AWS EC2 via Docker Compose.
An AI trip planner with itemised cost breakdowns pulled from third-party APIs. Auth is built from scratch — JWT access and refresh tokens, Google OAuth 2.0, email verification, and protected routes throughout.
A gamified habit-building PWA with offline caching and push notifications. Groq (Llama 3) generates personalised routines, and an XP-streak system keeps them sticky. Built during my internship at LinkStatic Techno.
Open to full-stack and AI-integration roles, internships, and collaborations.