northeastern '28 · data science & mathematics · boston

Jerome
Rodrigo

I'm Jerome, a Data Science and Math student at Northeastern. I love tackling hard problems and I'm always trying to learn something new.

Jerome Rodrigo
ML intern @ Regeneron · summer 2026
experience
ML Interncurrent
Regeneron · Rensselaer
integrating ML models into a visualization platform for applied analytics
Summer 2026
ML Engineer Co-op
MORSE Corp · Boston
Airflow pipelines · high-performance analytical data pipelines · CV evaluation in air-gapped infra · multi-criteria decision modeling
Spring 2026
OOD Teaching Assistant
Northeastern · Boston
Weekly labs of 40+ students · Java, UML, design patterns · office hours and debugging support
Fall 2025
ML Research Assistant
Boston Children's Hospital · Boston
Automated organoid segmentation · computer vision · OpenCV pipelines
Fall 2025
leadership
Tech Leadcurrent
Generate · Northeastern · Boston
Shipped NLP systems for two startups · pgvector semantic search · full-stack ML under real client deadlines
Jul 2025–
AVP of Technical Developmentcurrent
Kappa Theta Pi · Northeastern · Boston
Apr 2026–
projects
01
UnsprawlshippedSep – Dec 2025
AI duplicate task detection across Slack, Jira, and Trello.
SBERTpgvectorFastAPIOAuth 2.0DigitalOcean
02
RemetrashippedJan – Apr 2026
Remetra is a mobile health app for autoimmune patients — log food and symptoms, surface statistically significant correlations
GeminipgvectorDjangosentence-transformers
03
Blackjack RLMar 2026
DQN agent trained to play Blackjack in a custom Gymnasium environment, with an accompanying paper on Deep Q-Learning.
DQNGymnasiumPyTorchReinforcement Learning
04
GraphDTA reimplementationAug 2025
Reimplementation of GraphDTA for drug-target binding affinity prediction with graph neural networks.
PyTorch GeometricGNNPyTorch
05
RAG nutrition recommenderJun 2025
Web app that answers nutrition questions using RAG over health research documents.
RAGLlama 2ChromaDBFastAPIReactDocker
writing
Unsprawldesign doc
Technical Design Document
System architecture, embedding pipeline design, database schema, auth flows, integration pipelines, and deployment for an AI-powered task deduplication platform.
Blackjack RLpaper
Deep Q-Learning Paper
Mathematical foundations of Deep Q-Networks applied to optimal Blackjack strategy. Covers DQN architecture, experience replay, and why neural networks work for this problem.
GraphDTA Reimplementationpaper
Graph Neural Networks Paper
Reimplementation of GraphDTA for drug-target binding affinity prediction. Covers the math behind GNNs applied to molecular graph representations.
music
Top 5 · last 4 weeksvia Spotify
photos
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