I’m Heo, a developer and AI enthusiast from the Dominican Republic pursuing Computer Science and Mathematics. My journey into tech started as a kid in a small cyber café run by my aunt, where I grew up surrounded by computers, printers, photocopiers, and old video games handed down by my cousins.
What began as helping troubleshoot hardware and spending hours exploring the ins and outs of my PS2, Wii, and NDS became a deeper curiosity about how technology works beneath the surface. Today, I build software and AI-driven solutions with the same mindset that started years ago: understand systems deeply, solve meaningful problems, and create things that people genuinely enjoy using.
2026 – 2026
University of Massachusetts Amherst
4.0 GPA, Bay State Fellow.
2022 – 2025
University of Massachusetts Amherst
3.8 GPA, S-STEM Scholar, Departmental Honors, Dean's List (6×), SLOAN Fellow
Jun 2026 – Present
CodePath
Jan 2026 – May 2026
Bloomberg
2025 – Present
General Electric Appliances
May 2024 – Aug 2024
Alnylam Pharmaceuticals
Jul 2023 – Dec 2025
University of Massachusetts Amherst
Jul 2023 – May 2024
University of Massachusetts Amherst
Chrome extension that pairs LeetCode practice with curated YouTube focus audio — save up to six tracks, set a default, and auto-play it the moment you start the LeetCode timer.
View on GitHub ↗
with Bloomberg
Built an AI system that converts unstructured legal narratives into machine-reasonable knowledge graphs over 10k+ extracted events and relationships, combining LLMs, LegalBERT, and graph reasoning to deliver a +613% improvement over TF-IDF baselines via explicit temporal and causal reasoning.
View the slides ↗Reduced the game state from 3 trillion to under 1,000 representations per play (99.7% reduction) and trained over 10,000+ simulations, hitting an 80% win rate under a 95 ms decision-time limit.
Read the paper ↗
Built an unsupervised pipeline clustering 216,000+ Jeopardy! Q&A pairs into coherent topics with text embeddings, tuned via elbow method and silhouette analysis, then layered a semantic-similarity retrieval system that classifies new questions and surfaces related clues.
Read the paper ↗
— solutions and counting
An always-growing collection of my LeetCode problem solutions, each in its own folder with a write-up of the approach. The count above is pulled live from GitHub on every visit.
View on GitHub ↗I'm constantly tinkering — side projects, experiments, and weekend ideas. Follow along on GitHub for the next drop.
Follow on GitHub ↗Credentials & continuous learning
Covers HTML, CSS, Flexbox, CSS Grid, and accessibility best practices through 300+ hours of coursework.
View Certificate ↗
Build ML models in Python using scikit-learn. Build & train supervised ML models for prediction & binary classification tasks, including linear regression & logistic regression
View Certificate ↗
Complete Oracle Cloud Solution, Oracle Cloud Infrastructure and Oracle Cloud Applications. Learn the key features and components of OCI, identify the core OCI service offerings, and understand the OCI security model. Define SaaS, discuss advantages of SaaS applications, review the complete Oracle SaaS portfolio of applications - ERP, SCM, HCM, Advertising & CX.
View Certificate ↗
Understand AI concepts and workloads, explain ML concepts. Explain Deep Learning concepts. You will understand the fundamentals of Generative AI and LLMs. Understand Oracle AI Stack, including Infrastructure, Data, ML and AI Services. Describe Oracle Generative AI services.
View Certificate ↗
Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection Build recommender systems with a collaborative filtering approach and a content-based deep learning method Build a deep reinforcement learning model
View Certificate ↗
~30 hrs of hands-on learning in Python, LLMs, RAG, prompt engineering, NLP, API integration, and AI system design.
View on LinkedIn ↗
12-week program (~60 hrs/week) in data structures, algorithms, system design, and behavioral interview preparation.
View on LinkedIn ↗“Some moments I thought were worth keeping.”
No photos to show yet — drop images into images/photographyCollection/ and they'll appear here.