Self-taught engineer who builds things that bother him until they don't. Building AI-integrated apps and contributing to open source.
[21 y/o]@aradhyacp
Hey, I'm Tejpal Aradhya CP, a full-stack developer and Computer Science student at Dayananda Sagar College of Engineering, Bengaluru. Most of my learning has come from building real projects, contributing to open source, and competing in CTF security competitions.
I got into coding out of curiosity, then moved into security through CTFs — which trained me to read unfamiliar codebases fast and think in failure modes. From there, I moved into full-stack development and open source.
I don't wait for permission to start building. My work is driven by curiosity about how real systems function end-to-end — building products from scratch, experimenting with APIs, and understanding how components interact in production.
Raison is an AI tutoring platform embedded inside learning management systems used by schools, universities, and training organisations. During this internship I worked as a hands-on software engineer on product-facing work that adapted and extended core tutoring experiences for public and messaging surfaces.
Designed and developed Raison's public website and an interactive demonstration of the tutoring product. This involved separating the tutoring experience from its authentication layer, preloading teaching content for immediate interaction, and building the flow from the public site into the interactive demo. I also implemented a lead-capture flow tied to the commercial pipeline so prospective users could interact with the product and convert.
Built a working WhatsApp integration for the AI tutor using a Chat-SDK, connecting messaging to Raison's tutoring engine. Work included integrating an unfamiliar third-party SDK, handling conversational state across messages, adapting LMS-designed tutoring interactions to a messaging interface, and delivering an end-to-end tutoring conversation inside WhatsApp.
Contributed changes across the product codebase alongside the engineering team: understanding existing systems, implementing product-driven changes, and shipping features that supported the public demo and messaging integrations.
React
Next.js
TypeScript
Node.js
Tailwind
Docker
Git
GitHub
Python
PostgreSQL
Cloudflare
VS CodeI contribute to tools I actually use. When I notice rough edges, I fix them.
Drop-in replacement for react-markdown designed for AI-powered streaming. Powers Vercel's AI Elements.
Steganalysis web platform used in CTF competitions and security research for analyzing steganography in images.
Extracts PyInstaller-packaged Python executables. Used in security research and CTF challenges.
Real projects with real users. Built from curiosity, not for a resume.
Dynamic wallpaper engine
Security SaaS platform
Full-stack platform for detecting compromised data in breaches. Features search engine for breach data, real-time monitoring with cron jobs, and automated email alerts.
[Next.js · Supabase · Clerk · Stripe]
Payments, auth & monitoring
Automated multi-pass threat analysis pipeline
AI-assisted security pipeline that analyzes files, URLs, IPs, domains, and images through specialized microservices. Chains analysis across multiple passes and generates full DFIR-style reports with YARA rules, SIGMA rules, and MITRE ATT&CK mappings.
[Python · Flask · Docker Compose · React · Groq]
6 microservices, multi-pass24+ GitHub stars
Type-safe environment validation
Built this myself. Probably still fixing a bug somewhere.