Red Sky Health is a healthcare startup using artificial intelligence to analyze denied insurance claims and provide recommended actions to fix them for resubmission. Currently working on the AI engine and logic for resubmissions.

Lucy Labs is a systematic hedge fund specialized in cryptocurrency. Worked as a contract programmer and wrote several data collection programs to gather data from various crypto exchanges. In particular, wrote internal library code to interact with the Huobi API and set up webscraping programs to gather information from a DeFi interface. This helped to automate data collection for reporting and trading processes.

Tortoll is a service that seek to eliminate or negotiates lower fines for toll violators. Built a Python application to perform webscraping on traffic violation information and automatically synthesize and format the data, which was then run on the client's Mac machines. This served as a massive time improvement over manual data collection, estimated at around 90% time saved.

The Young Scholars Program is a 4-week summer math enrichment program for Chicago high schoolers. In 2022, we focused on number theory and probability courses. In addition to helping in a class of 12 high schools, ran small group sessions of 4 students to reinforce class material, provide advice for problem sets, and facilitate cooperative problem solving.

Worked as a TA and grader for various undergraduate math classes: Intro Calculus sequence, Linear Algebra, and Mathematical Methods for Physical Sciences. TAd for a total of 6 quarters. In addition to grading, also held weekly office hours to answer student questions about class and homework.

Lucy Labs is a systematic hedge fund specialized in cryptocurrency. Served as intern for two summers. For summer 2020, converted a theoretical market-making strategy into an automated trading bot. Using historical data, the algo computed optimal parameters for each market and was then successfully deployed across several exchanges. Completed back tests necessary and tweaked trading algorithms. For summer 2019, built an internal trading screen to display real-time information from various crypto exchanges. A Flask application in the backend gathered the data and pushed it to the frontend, which was an HTML document partially processed through Mako and live-updated using Javascript. The trading screen displayed various current prices, firm’s current positions and PnL values, trade and order history, and a form to quickly submit orders to the exchange should manual trading is required. The trading screen gave traders a tool to efficiently manage positions across various markets and access important historical data for analysis.