• Achieved 3.667 m distance error (mean of the 50th and 95th)
• Ranked 67th out of 279, handle "Poisson"
• Instrumented 6 QUIC implementations for performance comparisons
• Reduced I/O time by 1.29%–35.94% while maintaining similar RPS and latency
• Built a parser and generator for GraphQL SDL queries
• Used Python AST to generate parameterized test queries
• Built decentralized social matching app using Google Nearby API
• Joint work with Adrian Steffan
• Achieved 99.98% win rate using SMIX model (CTDE)
• Developed SSO-enabled website for KISA community
• Built ML model to predict rankings from linguistic features
• Achieved mean error of 11.16 in rank prediction