About Me

Hi! I'm a student at The University of Texas at AustinUT Austin Preview studying Computer Science and Mathematics. I'm a backend developer skilled in Python, AWS infrastructure, and data engineering.

I'm focused on quantitative finance, market making, and prediction market strategies, particularly on platforms like KalshiKalshi Dashboard and PolymarketPolymarket. I'm also a part of USIT QMIUSIT QMI, a quant finance org at UT Austin. I interned at State FarmState Farm for over two years across Infrastructure, Data, and Software Engineering roles. This summer, I am working on supporting multimodal model development at Meta Superintelligence LabsMeta Logo.

Outside of engineering, I'm interested in machine learning and statistics. In my free time, I enjoy cooking and watching shows on HBO (currently working through IndustryIndustry Show!).

Education

UT AustinThe University of Texas at Austin

B.S. in Computer Science

B.S. in Mathematics

Experience

Data Engineer Intern

MetaMeta Superintelligence Labs ↗

June 2026 – August 2026

Menlo Park, CA

  • Supporting the pre-training lifecycle for Meta’s next-generation foundational model (Muse).

Enterprise Technology Intern

State FarmState Farm ↗

June 2023 – August 2025

Richardson, TX & Dunwoody, GA

  • Interned across Infrastructure, Data, and Software Engineering roles, gaining full-stack pipeline experience.
  • Automated insurance policy testing, ensuring high reliability in deployment pipelines.
  • Optimized cloud data pipelines and managed cloud storage infrastructure, streamlining DevOps processes.

Senior Analyst

USIT QMIUSIT QMI ↗

Present

Austin, TX

  • Learned core financial concepts through workshops, applying Python to build and analyze financial datasets for quantitative decision-making.
  • Exploring quantitative finance, market making, and prediction market strategies on platforms like Kalshi and Polymarket.

Projects

Prediction Market Calibration

GitHubGitHub ↗

  • Interactive dashboard evaluating Kalshi market accuracy using Brier scores and reliability curves.

Blockchain Consensus Benchmarking

  • Performance analysis of PoW/PoS/BFT/ZK algorithms across ARM and x86 architectures on AWS EC2.

Research

Energy Efficiency of Cryptocurrencies

  • Investigating efficiency gains through specialized ASICs and customized instruction sets for cryptographic hashing.

Blog

UChicago Trading Competition 2026

PostRead Post ↗

  • A technical writeup of the models, execution logic, and lessons from Case 1 of the 2026 UChicago Trading Competition.

Kalshi Weather Calibration

PostRead Post ↗

  • Evaluating the Wisdom of the Crowd: Exploring calibration and skill across 9,000+ Kalshi weather markets.