Heonir Feliz

Hola, I'm:

Heonir Feliz

Developer · 

Get to know me ↓

About Me

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.

Heonir Feliz
With <3

Education

2026 – 2026

Master's Computer Science, AI Specialization

University of Massachusetts Amherst

4.0 GPA, Bay State Fellow.

2022 – 2025

Bachelor's in Computer Science & Mathematics

University of Massachusetts Amherst

3.8 GPA, S-STEM Scholar, Departmental Honors, Dean's List (), SLOAN Fellow

Experience

Jun 2026 – Present

Tech Fellow (TIP101/102/103 + AI101)

CodePath

  • Scaled technical mentorship across 4 concurrent cohorts, supporting 1000+ engineers-in-training weekly in algorithm design, AI-assisted workflows, and production-oriented problem solving.
  • Performed 100+ debugging and code-review interventions, applying systematic error analysis and computational reasoning to improve solution correctness and accelerate iteration cycles.
Jan 2026 – May 2026

AI Engineering Extern

Bloomberg

  • Building an ingestion pipeline that converts complex legal cases into facts, enabling reliable retrieval and modeling.
  • Training model to create case timeline interactive graph, linking entities so timeline is trustworthy for analytics.
2025 – Present

AI Software Engineer Intern

General Electric Appliances

  • Implemented Oracle chatbots, 24/7 support, cutting manual service by 30%, estimated saving $100K+ yearly.
  • Built LLM conversation flows, boosting response accuracy to 97%+ and cutting resolution time from 4min to 1min.
  • President of 200+ intern cohort, managing professional development, volunteering, and communications committees.
May 2024 – Aug 2024

Data Science Intern

Alnylam Pharmaceuticals

  • Developed a live R Shiny application to visualize complex biological data, improving accessibility for engineers.
  • Utilized pins with Posit Connect to create a real-time data update pipeline.
  • Automated data extraction and processing with Python win32com.client for SAS macro integration.
Jul 2023 – Dec 2025

Data Structures Teaching Assistant

University of Massachusetts Amherst

  • Conducted 2 weekly sessions for 500+ students across 5 semesters, vastly enhancing grades through tailored support.
  • Developed and presented a catalog of 80+ worksheets aligned with curriculum, reaching 2000+ downloads each term.
  • Hosted 15 exam reviews (2 hrs each) for 1000+ live attendees; attendees achieved 20% higher exam grades.
Jul 2023 – May 2024

Research Assistant - Human Computer Interaction

University of Massachusetts Amherst

  • Conducted 2 weekly sessions for 500+ students across 5 semesters, vastly enhancing grades through tailored support.
  • Developed and presented a catalog of 80+ worksheets aligned with curriculum, reaching 2000+ downloads each term.
  • Hosted 15 exam reviews (2 hrs each) for 1000+ live attendees; attendees achieved 20% higher exam grades.

Projects

Latest

LeetNoise

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.

Chrome Extension JavaScript HTML CSS
View on GitHub ↗

Neuro-Symbolic Legal Knowledge Graphs

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.

LLMs LegalBERT Knowledge Graphs Neuro-Symbolic NLP
View the slides ↗

AI Poker Agent

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.

PyTorch PyPokerEngine Q-Learning MCTS
Read the paper ↗

Large-Scale Semantic Retrieval on Jeopardy! Data

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.

scikit-learn PyTorch NLP Transformers K-PCA
Read the paper ↗

LeetCode Solutions

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.

Python Algorithms Data Structures
View on GitHub ↗

More on the way

I'm constantly tinkering — side projects, experiments, and weekend ideas. Follow along on GitHub for the next drop.

AI Full-Stack Tooling
Follow on GitHub ↗

Certifications

Credentials & continuous learning

When I'm Not at the Computer

You'll find me doing one of these

My first marathon!

Long Distance Running

Playing soccer on a green field

Playing Soccer/Footvolley

Reading a book in a cozy setting

Reading novels/comics/manga

Playing a Fender Telecaster guitar

Playing My Telecaster

Dancing bachata/salsa/hiphop

Dancing on stage or for fun

Photography

Photography — click to see my gallery

Photography

“Some moments I thought were worth keeping.”