MISSION: AI pipelines // cloud backends // things that ship to prod
CS undergrad building real software - AI pipelines, cloud backends,
production sites for actual clients. Ground control is a shell prompt;
the desktop is Hyprland on Arch.
Working on cloud-native telecom software while gaining hands-on experience with enterprise software engineering, distributed systems, networking fundamentals, containerized applications, and CI/CD practices.
Contributing to internal development tasks and learning large-scale system design within Ericsson's engineering ecosystem.
MAY 2025 – AUG 2025
Cybersecurity Intern
@ C9Labs, Indore
Wrote Python and Bash scripts to automate security testing. Fixes went into CI/CD pipelines and Docker builds, not just a report that sits in someone's Drive.
Went through a serious training program - Linux and Windows hardening, network security, offensive fundamentals. Also built incident response simulations to make drills feel real.
SEP 2024 – MAY 2026
Technical Team Member
@ Linux Club, VIT Chennai
Keep the club's Linux desktops running. Wrote setup scripts so it's not a manual process every time someone needs a new machine.
Run CTF workshops on pentesting, cryptography, and scripting. Some of the people I showed the ropes to now compete at other colleges.
Help plan semester events with the rest of the tech team - mostly logistics and making sure things actually happen on time.
Built for a real client. Travel platform with smooth scroll animations, offline support as a PWA, and fast load times. Learned the difference between building for yourself and building for someone who's paying.
Real-time chat over HTTP/3. Set up the whole stack myself - Cloudflare, DNS, deployment. Wanted to understand what production infrastructure actually looks like from scratch.
Document Q&A system - upload a PDF, ask questions, get answers with the relevant context pulled from the doc. Built it for a hackathon, ended up placing well at Bajaj Finserv.
Got tired of checking email manually. Built a pipeline on EC2 that reads Gmail, classifies everything with an LLM, and sends me a Telegram summary. No subscriptions, no SaaS, just a Docker container doing its thing.
Autonomous newsroom that ingests live news, clusters coverage around the same events, scores story heat using breadth, velocity, and recency, and turns stories into fully voiced podcast episodes.
Personal habit and identity tracker built around small daily actions. Track habits, review progress, and see how consistent actions contribute toward long-term goals.
Lightweight goal management app for creating goals, tracking progress, setting deadlines, and organizing goals by status, with import and export support.
Rule-based momentum screener for Nifty 500 stocks. Ranks stocks using Minervini's Trend Template, RS Rank, VCP, ADX, and other technical signals, with a Next.js dashboard backed by FastAPI.
Does quantum actually help RAG? Built a reproducible benchmark to find out - quantum feature maps (angle/amplitude/IQP) on PennyLane + Qiskit against a classical MiniLM + Qdrant + T5 baseline, over a 50+ source agricultural corpus scraped with Crawl4AI. The comparison harness runs the whole thing end to end.
Blockchain traceability for agriculture - farm-to-consumer records nobody can quietly edit, Chainlink oracles, virtual IoT monitoring, ML for quality and fraud detection. Team project; my part was the Next.js 14 + TypeScript frontend with role-based dashboards for farmers, distributors, retailers, and consumers, plus the integrations.
Hackathon project. Takes a PDF and turns it into something you can actually learn from - extracts the text, generates audio, lets you ask questions through a RAG pipeline. Got to AWSImpact Finalist at IIT Bombay.
My Linux setup, version controlled. GLSL shaders, automated workspace startup, clipboard sharing across contexts. Scripted the install so replicating it on a new machine doesn't take an afternoon.
