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u7k4rs6/README.md
Utkarsh Bahuguna

Second year CS at BITS Pilani × Scaler School of Technology.
I build AI agents, reinforcement learning environments, and security tooling.

LinkedIn Email Portfolio


Building

Project What it is
Yojaka Real-time AI debate platform. Multiple agents argue a motion in a structured reasoning format. Next.js.
Incident Response OpenEnv RL-compatible agent environment that simulates microservice failures with a diagnostic action mechanic. Deployed on HuggingFace Spaces.
PROCTOR.AI B2B platform that scores AI-assisted engineering skill in technical interviews. Model-agnostic scoring core.
ThreatSim Cybersecurity attack / defense simulator. Tech Excellence Award.

Selected work

  • Top 100 solo finalist, Meta × PyTorch Hackathon (built the incident-response RL environment end to end)
  • Open source contributor to Jaeger GenAI observability (jaegertracing/jaeger-ui #3887, LFX Mentorship)
  • Top 1% delegate, Japan Youth Summit 2025 (UNESCO affiliated), pitched an AI cybersecurity education model
  • Runner-up, Arweave Hackathon

Stack

Languages  TypeScript Python Go C++ Java Frameworks  Next.js React FastAPI Node Infra  Docker Postgres Redis GCP Focus  LLM agents reinforcement learning observability appsec

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  1. CodeSentinel CodeSentinel Public

    CodeSentinel is an autonomous GitHub AI agent that analyzes issues, generates and validates code fixes, and opens pull requests, while also ranking existing PRs to help maintainers prioritize the b…

    Python

  2. P2P-File-Sharing-System P2P-File-Sharing-System Public

    A lightweight Python-based P2P file sharing system built using TCP sockets and multithreading. It runs locally, simulating BitTorrent-style file exchange between peers via a central tracker on loca…

    Python 1

  3. MIRR MIRR Public

    MIRR is a simulation lab for training and evaluating heuristic and LLM agents to diagnose and recover microservice incidents, with a live Gradio demo for interactive incident response.

    Python

  4. compute-elasticity compute-elasticity Public

    Pre-registered pilot characterizing how LLM reasoning accuracy scales with inference-time compute. Fits parametric curve families to per-problem response dynamics on GPQA Diamond.

    Python