Majority owner of institutional trading tech at Optiver
Design / Maintain high performance data pipelines, backtest frameworks, GUIs, and general improvements for DCP / institutional trading
Software Engineering Intern
IMC TRADING
Chicago
06.2023 - 08.2023
Exchange Connectivity Team - used C++ to design a performant fault resistant proxy to serve real-time market data feed to trading components
Software Engineering Intern
HUBSPOT
Cambridge
06.2022 - 08.2022
Worked on the billing subscriptions platform scalable microservice. Used Java to improve scalability and portability of subscription objects in codebase
Created a tool using React and Java to help visualize playback of subscription object states
Software Engineering Intern
LIBERTY MUTUAL
Portsmouth
05.2021 - 08.2021
Used AWS, python, and SQL to automate quality control across multiple relational databases - designed historical view of inconsistencies across datasets
Participated in an intern-wide Hackathon and helped design a webapp in React and JavaScript that would more effectively match mentors and mentees - pitched to LMIG executives to put webapp into company practice
Used machine learning libraries such as Spacy NLP to extract important information from resumes, improving the detection of new skills and experience
Project Lead
DANA FARBER CANCER INSTITUTE
Cambridge
07.2018 - 08.2019
Designed a denoising convolutional autoencoder in python to artificially simulate and reduce noise and effects of metal objects in CT scans
Project selected as part of top 300 Regeneron STS scholars
Education
BSc. - Computer Science, Systems Concentration
Carnegie Mellon University
Pittsburgh, PA
05-2024
Skills
Java
C
Python
C
Linux
AWS
Projects
FINCORD, (Python, Flask, BootStrap, JavaScript, Firebase), A discord bot designed with the intent of promoting financial literacy in online communities. This bot uses NLP to respond to queries, perform financial calculations, and report stock market information. Won second place in Capital One Summit Hackathon
HOSPITAL FACEID, (Go, JavaScript, HTML, CSS), An AI-based facial recognition application in Go and connected product to patient database. Product ensured seamless identification of patients and can be used as a contactless identification system during the COVID-19 pandemic
SYMPTOM PREDICTOR, (Python, Flask), A web-app that used decision-tree based algorithm to predict probabilities of conditions given certain symptoms. Won award at MIT BeaverWorks Program