New York, New York, United States
Building software at Amazon AWS's AI platform Q Business. Gaining experience working with AWS tech stack and features, continuous deployment and testing, and system design.
Working with Professor Madhu Sudan on Cumulative Knowledge Processes. Analyzing the propagation of errors in graphs of information flow (e.g. academic citations), establishing bounds on asymptotic error rates using local error correction algorithms, and understanding phase transition between error rates. Using methods from stochastic processes and martingales, computational simulation, and mathematical proofs.
Held office hours, taught weekly section, and graded assignments and exams for CS 124: Data Structures and Algorithms.
Implementing trading software for quantitative hedge fund startup. Includes the implementation of efficient trading algorithms, internal databasing, and the designing of scalable infrastructure for future modifications and algorithms. Trading $3K with $2M from investors conditional on good returns.
Analyzing international market data and creating data analysis visualization platform in a small team of peers for real clients in industry. Presenting conclusions and delivering the visualization platform to the company at end of term.