Hi, I'm Alex! I recently graduated from New York University with a degree in Computer Science. Scroll to learn more about me!

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About Me

In high school, I was passionate about reselling sneakers. What started as a side hustle quickly showed me how much time repetitive, manual work—like tracking inventory and managing orders—could take. I began tinkering with small tools to automate parts of the process, sparking my interest in computer science and the idea that technology could make work easier and more efficient.

Since then, I’ve worked across both startups and large companies—developing web scraping pipelines at Constellation, building machine learning systems at Hawkeye, and creating computer vision tools for athletes at Ideas Lab. At MetLife, I built automation for DevOps processes, and at Cartage (YC S24), I developed AI agents that handled hundreds of freight orders daily, reinforcing my love for fast-paced, impactful work.

When I’m not coding, you’ll usually find me studying fashion, playing basketball, or hanging out with my bunny, Ollie. I also love picking up new skills. Right now, I’m learning French. I’m always happy to connect and chat—whether it’s about tech, startups, or anything in between.

My projects

Golfball Pathfinder

Trained YOLOv8's convolutional neural network (CNN) on 8000+ pieces of data to accurately detect & track the location/trajectory of a golf ball in any given video of a golf swing

  • Computer Vision
  • Python
  • PyTorch
  • OpenCV
  • YOLOv8

83SM Capital

Building an automated pairs-trading algorithm to capitalize on the inefficiencies of closed-end funds. Research funded by NYU Dean Research Fund.

  • Python
  • PostgreSQL
  • TimescaleDB
  • IBKR
  • yfinance
  • backtrader

Fruition (NYU Startup Accelerator Program)

Worked in a team of 3 to build a project management platform supporting collaboration for 40+ research groups at NYU.

  • Node.js
  • React
  • TypeScript
  • PostgreSQL
  • Docker
  • CI/CD
  • Supabase

Wayback Machine

A full-stack web app, allowing users to capture website snapshots with recursive link crawling and view them later. Essentially a personal wayback machine for any website.

  • Node.js
  • React
  • TailwindCSS
  • DayJS

Personal Portfolio

This website you are on serves to showcase my skills, projects, and professional experience. Contains a light/dark mode and an email feature.

  • TypeScript
  • React
  • Next.js
  • Tailwind
  • Framer
  • HTML
  • CSS

My skills

My experience

New York University

Major: Computer Science

Graduated May 2025

Sep. 2021 - May 2025

Constellation

Data Science Intern

Designed a Python script using Selenium and Beautiful Soup 4 packages to automate the extraction of 5M+ points of data

Jun. 2022 - Aug. 2022

Hawkeye Investment Management

Software Engineer Intern, Machine Learning

Developed an ML model in high dimensional space to identify optimal pairings for hedge

Jan. 2023 - May 2023

Ideas Lab

Software Engineer Intern, Machine Learning

Creating an object detection algorithm using computer vision (YOLOv8) to track movements of a golf swing in a live video

May 2023 - Aug 2023

83SM Capital

Software Engineer

Building a Python-based pairs trading algorithm to conduct statistical arbitrage on 400+ closed-end funds using time series analysis

May 2023 - Present

MetLife

Software Developer Intern

Created a Python-based automation for configuration management and reduced latency by 200ms per task execution by implementing SSH key-based authentication

June 2024 - August 2024

NYU Dean Undergrad Research Fund

Research Fellow

Awarded research grant by NYU to analyze complex behavioral patterns of CEFs. Designed and optimized PostgreSQL database schemas to store and query 20M+ rows of time-series financial data

Oct 2024 - May 2025

Contact me

Please contact me directly at hsualexotake@gmail.com or through this form.