Few things that I built end to end, from serverless news pipelines to LLM crawlers and an HR model that flags attrition before it happens.
Answer a short survey and get it back written in the voice of a dozen different people. I built the whole persona-switching flow: pick your answers, and each of the 10+ personas replies in a voice that actually sounds like them.
A news pipeline that scrapes, summarizes, and tags stories on its own, then serves them over an API. The part I'm proudest of: the entire AWS stack stands itself up from Terraform, no clicking around a console, and pages me over SNS the moment something breaks.
An HR dashboard that flags who's likely to quit before they do. The attrition model landed at an F1 of 0.996 in testing; salary forecasting and team clustering sit right next to it, so the whole picture lives on one screen.
Scores personality straight from standard questionnaires: Big Five and Dark Triad with XGBoost, MBTI through an LLM. I ran every experiment through MLflow so I could actually tell which model runs were getting better instead of guessing.
Finds vehicle listings, pulls the structured data out of them, and prices them, with a human stepping in on the messy ones. I wired Firecrawl and n8n into a Django backend so crawling, review, and valuation all happen in one place.
The tools I reach for daily, the ones behind the projects above, not a checklist of everything I've ever touched.
Mechanical engineering, then a hard pivot into software and AI. Three schools across two countries.
B.Tech, Mechanical Engineering
Built strong engineering foundations with an exceptional academic record. Developed analytical thinking and problem-solving skills that translated into software development.
Advanced Certificate, Full Stack Software Development
Advanced certificate program covering full-stack software development: frontend frameworks, backend architectures, databases, and deployment practices.
M.S., Data Science & AI
Graduate studies in Machine Learning, HCI, Data Modelling, and MLOps. Building advanced AI systems and data pipelines with hands-on research focus.
SRM University, Chennai, India
2018 - 2022
Built strong engineering foundations with an exceptional academic record. Developed analytical thinking and problem-solving skills that translated into software development.
IIT Roorkee
Nov 2021 - Nov 2022
Advanced certificate program covering full-stack software development: frontend frameworks, backend architectures, databases, and deployment practices.
Unmaad Studio, Bengaluru, India
Nov 2022 - April 2024
Engineered full-stack applications using React TS with Vite + Electron, and migrated backend architecture from Appwrite to Supabase with secure authentication and real-time updates.
Asian Institute of Technology, Thailand
2024 - 2026 (expected)
Graduate studies in Machine Learning, HCI, Data Modelling, and MLOps. Building advanced AI systems and data pipelines with hands-on research focus.
AI Brain Lab, Bangkok, Thailand
Nov 2024 - Present
Developing scalable LLM-based crawlers, re-architecting legacy stacks to modern React TS + Django (DRF) infrastructure, and redesigning application flows for AI-driven sessions.
Code is like a story, and a good story should be clear, concise, and leave the reader with a sense of satisfaction.