About Me
Hi! I'm a student at The University of Texas at Austin
studying Computer Science and Mathematics. I'm a backend developer skilled in Python, AWS infrastructure, and data engineering.
I am deeply passionate about quantitative finance, market making, and prediction market strategies, particularly on platforms like Kalshi
and Polymarket
. I'm also a part of USIT QMI
, a quant finance org at UT Austin. I interned at State Farm
for over two years across Infrastructure, Data, and Software Engineering roles. This summer, I will be interning at Meta
as a Data Engineer Intern.
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 Industry
!).
Experience
Summer 2026 Internship.
- 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.
- Active member of the University Securities Investment Team's Quantitative Management Initiative.
- Exploring quantitative finance, market making, and prediction market strategies on platforms like Kalshi and Polymarket.
Projects
- Interactive dashboard evaluating Kalshi market accuracy using Brier scores and reliability curves.
- Performance analysis of PoW/PoS/BFT/ZK algorithms across ARM and x86 architectures on AWS EC2.
Research
- Investigating efficiency gains through specialized ASICs and customized instruction sets for cryptographic hashing.
Blog
- Evaluating the Wisdom of the Crowd: Exploring calibration and skill across 9,000+ Kalshi weather markets.
Education
B.S. in Computer Science
B.S. in Mathematics
Certifications
AWS Certified Solutions Architect – Associate
AWS Certified Cloud Practitioner
HashiCorp Certified: Terraform Associate
State Farm ↗