KUSHAGRABHARTI

builder.

researcher.

filmmaker.

tinkerer.

I enjoy building software at the intersection of AI, data, and real-world impact.

3d model loading

3d model work in progress. quality will improve.

About me

Hey there! I'm Kushagra Bharti

I am a student and software builder who enjoys learning and expanding my skillset.

{ values / beliefs / writings / thoughts }

  • 01

    epistemic velocity

    Lifelong learning as epistemic hygiene: curiosity, discipline, and pressure against stale competence.

  • 02

    adaptive agency

    High-agency adaptation under ambiguity: fast revision, clear authorship, tools kept subordinate.

  • 03

    aesthetic judgment

    Taste as compressed perception: rhythm, restraint, framing, and selection when generation is cheap.

  • 04

    ambient agency

    Software as ambient infrastructure: fewer destinations, stronger memory, cleaner preservation of intent.

Kushagra Bharti portrait

25.2048° N, 55.2708° E+

Experiences

Places, teams, and problems that shaped how I build.

Feb 2026 - Present

Research

Machine Learning Engineer Intern at UT Southwestern Medical Center, Tsai Lab

Fine-tuning DeepLabCut/SuperAnimal for lab-specific 3-chamber mouse-behavior video and building an end-to-end computer vision pipeline for pose extraction, behavioral scoring, QC, and researcher-facing scorecards.

Apr 2025 - Present

Research

Undergraduate Researcher at UT Dallas, CAIR Lab

Built MonopolyBench, a deterministic multi-agent LLM benchmark for evaluating tool-calling agents on long-horizon planning, negotiation, deception, bias, memory, and schema-constrained decision-making.

Jan 2026 - May 2026

Industry

Software Engineer at Glydr.gg

Led engineering for Glydr.gg's Railway-deployed, microservice-based configuration platform serving 1,000+ users, spanning public discovery, Steam authentication, admin tooling, Control Panel imports, CI/CD, and distributed config delivery.

Apr 2025 - Nov 2025

Research

Independent Researcher (Optimization + ML) at UT Dallas

Built paper-faithful optimization solvers and a solver-labeled dataset pipeline for 1D drone coverage planning, with benchmarks and QC gates to support supervised, GNN, and RL experiments on optimal tour planning.

May 2024 - Aug 2024

Industry

Software Engineering Intern at Abilitie

Owned Llama 3.1 fine-tuning, structured-output engineering, cost optimization, telemetry, and latency work for Abilitie AI Cases, reducing LLM cost per conversation 70% across 27 role-play configurations and reaching 1.0s p95 TTFT.

Aug 2021 - May 2022

Leadership

Dorm Proctor at St. Stephen's Episcopal School

Supported younger boarding students through peer mentorship, safety training, and community-building in a residential school environment.

MonopolyBench

MonopolyBench

A deterministic long-horizon LLM-agent benchmark for evaluating planning, negotiation, deception, memory, bias, and asset-management behavior.

LLM Evaluation • Agent Harness

F1 Optimization Project

F1 Optimization Project

A custom Gymnasium Monza RL environment and PPO training stack with F1-style physics, ray-cast perception, telemetry calibration, and replay.

Reinforcement Learning • Physics Simulation

IMC Prosperity 4 Quant Trading Competition

IMC Prosperity 4 Quant Trading Competition

A top-6%-worldwide IMC Prosperity 4 trading system spanning fair-value market making, options pricing, residual signals, DP oracles, and replay diagnostics.

Quantitative Trading • Backtesting

Pact

Pact

A hackathon winner mobile accountability app where users turn goals into escrow-backed commitments, submit proof, and rely on trusted validators.

React Native • Full-Stack Mobile

Go Web Crawler

Go Web Crawler

A high-concurrency Go web crawler with worker pools, host-aware frontier scheduling, PostgreSQL persistence, and 100,000-page public-web crawl runs.

Go Concurrency • Goroutines

NovelBench

NovelBench

A live multi-stage LLM benchmark where frontier models generate, critique, revise, and vote on creative prompts under pressure.

LLM Evaluation • Evaluation Infrastructure

AutoHDR ML Lens Correction

AutoHDR ML Lens Correction

A geometry-first computer vision system for automatic lens correction, combining a staged ResNet34 hybrid CNN with Brown-Conrady camera geometry.

Computer Vision • ResNet34 CNN

Beyond Chat

Beyond Chat

An artifact-first AI workspace with specialized studios, tool-calling runs, durable context, model comparison, and storage-backed outputs.

RAG • Artifact Systems

Kaggle Titanic ML

Kaggle Titanic ML

A complete Titanic ML pipeline covering data cleaning, feature engineering, model comparison, EDA, and a documented learning report.

Machine Learning • Feature Engineering

2022 / documentary / 10 min

Dining Hall Documentary

A documentary following the St. Stephen's dining hall staff from the start of their day to the end.

01Dining Hall Documentary
02The PB&J Documentary
03RTMS Semesterly Recap
  • Director
  • Cinematographer
  • Editor

Let's buildsomethingmeaningful.

Open to internships, research collaborations, and ambitious builds.