Summary
Arya Vineet is a software engineer with 10 years of experience who blends low-latency systems engineering with research-driven AI and quantitative modeling. He has interned at Amazon Audible on Content AI, collaborated with MIT Media Lab to reverse-engineer and efficiently implement MuZero-style agents in JAX, and accelerated a housing market econometrics model at Chicago Booth by 60x using advanced numerical methods. Incoming to Citadel Securities to work on low-latency trading systems, he brings a rare mix of production-focused performance optimization and deep research instincts. Comfortable across Python, JAX, Ray and distributed actor-learner infrastructure, he favors pragmatic engineering that exposes surprising speedups in serial, hard-to-parallelize workloads.
10 years of coding experience
1 year of employment as a software developer
High School, High School at UWC South East Asia
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at University of Chicago
English, Chinese, Hindi