Jayanth Ramakrishnan

Jayanth Ramakrishnan

Builder.
Thinker.
Failure.

I make things that matter — software, systems, and occasionally, bad decisions that turn into good stories.

01 — Origin

Why I exist?

I was that kid who took apart every remote control, every toy, every broken gadget in the house — not to fix them, but to understand why they worked.

Somewhere between that and now, I realised the world doesn't run on facts. It runs on decisions made by people who understood something slightly better than everyone else. I exist to be one of those people.

I build things. I break things. I ask uncomfortable questions and stay up until 3AM looking for answers nobody else was bothered to find. That's the short version.

02 — The Work

What do I even do?

Honestly? A bit of everything — and that's exactly how I like it.

  • Build software that actually ships

    Not just works in dev. Not just demoed at a hackathon. Actually ships.

  • Turn half-baked ideas into real things

    From a napkin scribble to something people can touch and use.

  • Research what's 3 years ahead

    Quantum ML, systems architecture, and whatever else keeps me up at night.

  • Write. Think. Question everything.

    Then repeat. Occasionally sleep.

03 — Projects

Messy Work

These are things I actually made. Rough around the edges. That's the point.

AI · DevOps halted / scrapped

AutoDev v2.0

The code that fixes itself. An autonomous agent that deploys in sandboxes and patches crashes so I don't get paged at 3AM. Zero MTTR.

A next-generation Autonomous DevOps Agent that reduces Mean Time to Recovery (MTTR) to zero. AutoDev deploys applications in isolated sandboxes, monitors runtime telemetry, and autonomously generates, tests, and commits code patches when crashes occur.

Stack: Python, React, Docker, AI
View Repository ↗
FastAPI · Next.js Latest NDA Project

Defect Intelligence

Air-gapped AI platform turning raw bug data into predictive insights for industrial environments. Model loaded in RAM because latency is the enemy.

An AI-powered defect intelligence platform that transforms raw bug data into predictive quality insights. It uses NLP-based semantic clustering, anomaly detection, and severity-weighted hotspot prediction to identify recurring issues, detect abnormal defect spikes, and forecast high-risk components before release failures occur.

The platform is fully air-gapped, performs enterprise-grade PII anonymization, and runs entirely locally using FastAPI, Next.js, and local LLM integration — making it suitable for IP-sensitive industrial environments like semiconductor and embedded systems engineering.

Gold Medalist rewriting for journal

Stochastic Stability

A new metric for analyzing IDE agents' stability during code iteration. Helps visualize the spikes, the hollow points, and the moments they just give up.

Introduced a new Stochastic Stability Index metric tailored for IDE integrated agents to analyze the stability in code writing across iterations.

04 — Experience

Experience

Dec 2024 — Jun 2025

Quantum ML Intern

Deakin University, Australia

Simulated high-dimensional topological holes using Qiskit. Because standard data wasn't complicated enough, so I added qubits to it.

May 2025 — Aug 2025

ML Intern

Purple Technologies

Built production-ready video analytics with YOLOv8 & DeepFace. Made sure the AI accurately knew who was stealing the office snacks.

05 — The Cults I Run

Campus Antics

Technically these are "student organizations", but let's be honest.

Jun 2025 — Present

Founder & Chief Executive

Singularity Advanced Research Lab

Secured ₹15L+ in tech toys (drones, jetsons, VR) and brought in ₹1.5Cr in global consultancy projects. Mostly just trying not to accidentally build Skynet in a dorm room.

Sep 2024 — Apr 2026

Founder & Chief Advisor

Microsoft Student Community

Ran HACK MSC 2.0, the biggest student hackathon in India (1200+ folks, ₹21L prize pool). Managed chaos at a scale that Azure would be proud of.