Akash Rengaraj
AI & Data Science student · full-stack developer · Coimbatore, India
Akash Rengaraj is a 3rd year B.Tech Artificial Intelligence & Data Science student at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu (current CGPA 8.22), and the Tech Leader of the college Data Science Club. Akash builds complete products solo, end to end: full-stack web apps (React, Node.js, FastAPI), multi-agent AI and RAG tools, AR and Flutter mobile apps, and IoT systems. Open to internships — in Coimbatore or remote.
Featured projects
- Neo — Interactive Defensive Analytics & Auditing Studio — A Multi-Agent DevSecOps Threat Intelligence Framework. (AI / ML · Python, Streamlit, CrewAI, ChromaDB · active)
- ARify — 3D Room Scanning — An open-source pipeline to AR-ify any physical space and share it with the world. (Mobile & AR · Flutter, FastAPI, Android ARCore, Unity (WebXR) · in development)
- Get Up — All-in-One Student App — A Flutter productivity companion that helps students track habits, attendance, and finances. (Mobile & AR · Flutter, Hive, fl_chart, confetti, intl · Completed)
- Full-Stack Jewellery E-Commerce — A production-grade e-commerce platform with real-time inventory and JWT auth — built solo end-to-end. (Full-stack · React, TypeScript, Vite, Tailwind CSS, GSAP, Node.js, Express, MongoDB · Active development)
- Millora — Premium Ice Cream Brand Site — A buttery-smooth frontend with Lenis scroll, Framer Motion, and a fully functional shopping cart. (Frontend · React 19, TypeScript, Vite, Framer Motion, Lenis, CSS Modules · Completed)
- Terminal Portfolio — akashr.dev — A hacker-aesthetic portfolio with a real terminal emulator, wandering bot, and 30+ easter eggs. (Frontend · React 19, Vite, JavaScript, Firebase, react-router-dom · Active Development)
Education
- B.Tech Artificial Intelligence & Data Science — Sri Krishna College of Engineering and Technology (SKCET), Coimbatore, 2024 – 2028. 3rd year, current CGPA 8.22.
- Higher secondary — SNM Matriculation Higher Secondary School. Class 10: 89.8%, Class 12: 90.5%.
Latest writing
- Building akashr.dev — a terminal portfolio inside an OLED laptop — Notes from rebuilding my portfolio: the 3D laptop frame, a floating bot that doesn't stutter, typing effects that never shift the layout, and making it fast.
- How Neo works: a three-agent threat-modelling pipeline with CrewAI and ChromaDB — Why I split security analysis across three specialised agents, how retrieval feeds them context, and the routing trick that keeps simple questions fast.
- Spreading 50 capture points evenly on a sphere — the Fibonacci trick behind ARify — How ARify guides a phone around a room using a spherical Fibonacci lattice, captures frames automatically, and ships them to a FastAPI backend for reconstruction.