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Harrishayy/README.md

Harrish Ayyanar

Robotics & AI @ UCL · Research @ HyBird · prev. Cisco, General Learning (YC F24)
Robots, world models and perception. Currently building Ultras.

Portfolio Google Scholar LinkedIn X

harrishayyanar.com

Selected work

🎯 Kinesis · residual RL for 6-DoF tracking
robotics
Trained a PPO policy that corrects a damped-least-squares IK controller, so a Franka Panda tracks targets to 0.46 mm RMS under sensor noise and control delay.

Python MuJoCo PyTorch

⚖️ Cart-pole · underactuated control
robotics Won UCL Systems Engineering
Balanced a pole on a moving cart with embedded compute, benchmarking LQR, cascaded PID and MPC on a 500 Hz state-estimation loop.

C++ Python Arduino Fusion 360

🧊 Spatiality · phone video to labelled 3D
perception
Built a pipeline that turns a phone video into a 12–50M-point 3D scene with every object segmented and named, in under 20 minutes and with no manual labelling.

Python PyTorch VGGT SAM 3

📡 NeMo-Ray · digital twin of London's emergency network
ai Won NVIDIA Hack for Impact London
Ray-traced radio coverage across London; when masts fail, an agent redeploys satellite cells to keep 300,000 responders connected.

Sionna RT cuOpt Nemotron Next.js

🎓 RevisionDojo & OnePrep · General Learning (YC F24)
software
Shipped 8+ microservices and two iOS apps, built the Glicko-2 rating model and reinforcement fine-tuned models for edtech used by 1.5M students.

TypeScript Swift Next.js PostgreSQL

⚽ Ultras · a football prediction market
software
Co-founded a football prediction market for web and iOS where fans trade shares in real players, priced by an XGBoost model tested on 29,108 unseen player-seasons.

TypeScript Next.js React Native XGBoost

Research

  • 📄 ASpec · ICLR 2026 · Co-authored a method that auto-discovers teams of specialist LLM agents and learns when to rebuild them: +6% accuracy at 47% lower cost.
  • 📄 PEBBLE · NeurIPS 2025 workshop · Co-authored a benchmark that grades LLM tutors on how they teach, not just their answers.
  • 🛡️ Cereberus · Cisco · Co-led an open-source runtime that gives each AI agent its own syscall policy, enforced by eBPF hooks in the Linux kernel.

Wins

  • 🏆 Casework · 1st, Real-World Agents Hackathon · Built an AI inbox that turns tenant calls and emails into cases and holds anything risky for a human.
  • 🏆 Boxonwils · 1st, UCL Robotics Challenge · Engineered a robot that maps unknown terrain with SLAM and plans collision-free paths through it.
  • 🏆 Uncookd · 1st, AgentVerse Hackathon · Architected a classroom where three AI agents teach a student's question on a shared whiteboard.
  • 🥈 Nemotron Reasoning Challenge · Kaggle silver, top 3% · Fine-tuned a 30B model with LoRA on solver-verified reasoning traces.

Stack

LanguagesPython · C++ · C · TypeScript · Go · Swift · CUDA · SQL · MATLAB
Robotics & MLPyTorch · ROS 2 · MuJoCo · Isaac Lab · OpenCV · SAM 3 · scikit-learn
ProductNext.js · React Native · FastAPI · PostgreSQL
Infra & hardwareLinux · eBPF · Docker · AWS · GCP · STM32 · Jetson · Arduino · Raspberry Pi

Pinned Loading

  1. Cereberus Cereberus Public

    Built with Cisco: The future of agent security (enforced at the kernel level)

    Go 14 1