I build NLP and LLM systems for healthcare — pipeline design, model evaluation, schema-constrained generation, retrieval-grounded Q&A, and deployment. My research focuses on detecting medical misinformation in bilingual (English/Spanish) clinical settings.
M.S. in Computer Science (ML & AI) + M.S. in Medical Sciences — Loyola University Chicago
| Project | What it does | Stack |
|---|---|---|
| ClearDoc | Bilingual LLM document analyzer — converts dense documents into plain-language summaries, key points, and jargon definitions with grounded Q&A. Live → | Next.js, TypeScript, LLM API, Vercel |
| Chicago Data Explorer | Civic data dashboard visualizing crime trends, food inspections, and 311 requests across three City of Chicago open datasets. Live → | Python, FastAPI, pandas, SoQL, Chart.js |
AI/ML: PyTorch · Hugging Face Transformers · scikit-learn · LLMs (Llama, Gemini API) · NLP · RAG · Model Evaluation
Languages: Python · TypeScript/JavaScript · SQL · Java · C/C++
Backend & Data: FastAPI · Flask · Django · Node.js · Express · React · Next.js · PostgreSQL · MongoDB
Cloud & DevOps: AWS · GCP · Docker · Kubernetes · Terraform · Git · CI/CD
- 🔬 Graduate Research Assistant at Loyola — NLP/LLM pipelines for bilingual medical misinformation detection under Dr. Daniel Moreira
- 🏥 Medical interpreter (Spanish/English) at CommunityHealth, Chicago
- 🔍 Looking for ML/AI engineering roles — remote or Chicago-based


