About
My Background
I am a software engineer based in Brooklyn, NY. I recently graduated from Harvard with a bachelor's degree in computer science. While in college, I worked in the Computational Cognitive Neuroscience Lab (the Gershman Lab) where I conducted research into human decision-making. I used reinforcement learning to model how humans choose what to learn first. Following graduation, I continued working at The Coding School, a non-profit designed to bring advanced courses in emerging technologies to students regardless of their background or demographics. I created and taught courses focused on quantum computing and machine learning through the Qubit by Qubit and TRAIN programs respectively, and were targeted at the high school, university, and graduate levels. I am now transitioning into full-time software engineering, with a recent focus on user interface design and cross-platform functionality.
Experience
Full Stack Software Engineer – (Machine Learning)
Mar 2023 - now
Altir Industries
- Independently architected and implemented a high-performance banking data pipeline, integrating with Plaid and Teller. Leveraged AWS services such as Elastic Container Service, ElastiCache, and a serverless Aurora PostgreSQL database to create a scalable, distributed data ingestion engine.
- Designed a distributed machine learning system for real-time transaction classification, utilizing a customized GPT and an SVM, to automate the generation of accurate and up-to-the-minute financial statements.
- Built a responsive React front-end to visualize aggregated transaction data, connected to a robust TypeScript GraphQL API for efficient data retrieval and processing.
- Engineered a custom, type-safe financial mathematical library from the ground up to compute advanced financial metrics, with dynamic visualizations using the D3.js library.
- Developed an ACH and Wire payment transfer service using Treasury Prime’s Banking-as-a-Service (BaaS) API, facilitating seamless account creation and transaction processing for users.
Non-profit Fellowship | Machine Learning & Quantum Computing
Jan 2022 - Dec 2022
The Coding School
- Developed and implemented advanced machine learning solutions for an AWS-sponsored course, utilizing AWS AutoGluon to optimize model deployment and scalability for community college programs.
- Co-developed quantum computing applications with Professor Franz Klein, collaborating with climate scientists from NASA's Goddard Center and CSIRO to integrate quantum computing methodologies into environmental research workflows.
Machine Learning Researcher
May 2021 - Sep 2021
Harvard University
- Developed novel reinforcement learning algorithms in order to model human decision heuristics as algorithmic policies.
- Models were written in MATLAB and Python.
Junior Software Engineer: Computational Genomics
Jun 2019 - Sep 2019
Shepherd Therapuetics
- Designed a full-stack web application using a Python Django backend and a PostgreSQL database to increase efficiency of the data pipeline between the genomics and analytics teams. Core data analysis was automated via an AWS server.
Talent Acquisition Associate
Jun 2018 - Aug 2018
RPI
- Sourced technical specialists within the telecommunications sector and SaaS CRM companies for international projects.
A.B Computer Science
Sep 2017 - Jan 2022
Harvard University
A.B. in Computer Science, Minor in Mind Brain Behavior. GPA: 3.6
Relevant Coursework: Machine Learning, Natural and Artificial Intelligence, Datasets and Algorithms, Computer Graphics, Engineering Quantum Mechanics, Quantum Photonics, Probability & Statistics, Applied Linear Algebra.
Highlighted Projects
Subway Status
Feb 1, 2023
The L is nowhere to be found, you're deep in brooklyn, should you Uber or should you wait it out? This displays the live message board direct from the MTA gRPC feed.
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High-Effeciency
User Interface
Portfolio Website
Jan 11, 2023
Building a website from scratch is not for the faint of heart, it took me 3 Months and learning 8 new technologies to build my portfolio, and achieve proficiency in modern front-end development.
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Web Development
Content Management
Super Wordle!
Jan 7, 2023
What can make Wordle better? A timed leaderboard of course! This project has is a fully functioning wordle clone that extends the original by adding a leaderboard of the fastest solutions.
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User Interface
Games
Quantum Machine Learning
Jan 18, 2019
Quantum machine learning project that uses state interference to perform binary classification on the iris dataset. We implemented the Schuld et al. quantum classifier on the IBM 5 qubit device and the Rigetti 16 qubit devices. We also compared the efficacy of each device based on noise and topology.
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Quantum Computing
Machine Learning
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