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Jrodrigo06/README.md

Jerome Rodrigo

Data Science & Math @ Northeastern Previously @ Regeneron, MORSE Corp, Boston Children's Hospital

Portfolio · Email · LinkedIn


Projects

Moonseye A knowledge base for a Deepwoken that keeps itself constantly up to date with a Kafka + Go pipeline that watches for new content and feeds a Neo4j graph, vector, and Postgres database Python Go Kafka Neo4j FastAPI pgvector

Unsprawl — Tech Lead, w/ Generate Pulls scattered tasks out of Slack, Trello, and Jira into one place and uses an LLM judge to catch duplicates before they pile up. Python FastAPI PostgreSQL Gemini

Remetra — Tech Lead, w/ Generate Helps people with autoimmune conditions figure out which foods actually trigger their symptoms, using real statistics instead of guesswork. FastAPI React Native pgvector Docker

GraphDTA-Replication Replicated a couple of graph neural net architectures to predict how strongly a drug binds its target. Following GraphDTA PyTorch RDKit

Blackjack RL Trained a DQN to play blackjack about as well as you realistically can against the house edge. Gymnasium PyTorch


Stack

Languages

Python Go TypeScript JavaScript SQL Java C++

Frameworks & Tools

FastAPI React Next.js Airflow Git

ML & Data Science

PyTorch LangChain LangGraph Hugging Face scikit-learn Pandas NumPy Plotly OpenCV

Databases & Cloud

PostgreSQL MongoDB DuckDB pgvector Neo4j Kafka Docker Kubernetes OpenShift AWS Azure

Pinned Loading

  1. GenerateNU/unsprawl GenerateNU/unsprawl Public

    Python 3 2

  2. GraphDTA-Replication GraphDTA-Replication Public

    My reproduction of the paper "GraphDTA: Predicting Drug–Target Binding Affinity with Graph Neural Networks".

    Python 1

  3. llm-health-recommender llm-health-recommender Public

    JavaScript 1

  4. BlackJackRL BlackJackRL Public

    Python 1