Francisco Sa
@franciscosa
Senior AI full-stack engineer building secure, scalable GenAI systems for healthcare and finance.
What I'm looking for
I’m a Senior AI Full-Stack Engineer focused on transforming complex business challenges into scalable, production-ready systems, with deep experience integrating GenAI into healthcare and finance environments.
I have built HIPAA-compliant EHR platforms and AI-driven automation for HR and finance, deploying RAG pipelines with OpenAI and Google Gemini, production microservices, CI/CD, and cloud infrastructure that improved accuracy, performance, and developer velocity.
I prioritize security, data privacy, and pragmatic DevOps practices, and I deliver measurable results—reducing manual effort, improving accuracy, and optimizing system reliability across clinical and enterprise workflows.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
MentalSpace Therapy
Sep 2024 - Oct 2025 (1 year 1 month)
Developed AI-driven automation for HR and finance, deploying cloud RPA and RAG pipelines that reduced manual effort by ~6 hours/week and improved data accuracy by 91%. Implemented secure, scalable AI workflows meeting enterprise compliance standards.
Senior Fullstack Engineer
Cresta
Sep 2021 - Aug 2024 (2 years 11 months)
Architected and delivered a HIPAA-compliant full-stack EHR using Nest.js, React, PostgreSQL and AWS supporting 2,000+ patient records; refactored services into microservices reducing median API latency by ~9% and achieved 95% automated deployment coverage.
AI Fullstack Developer
Doximity
Jul 2017 - Aug 2021 (4 years 1 month)
Built AI-driven B2B web solutions and internal platforms, using BERT and PyTorch to increase conversions by 32% and optimized pricing strategies to grow revenue by 20% for clients.
Education
Degrees, certifications, and relevant coursework
The University of Texas Rio Grande Valley
Bachelor of Science, Computer Science
2012 - 2016
Completed a Bachelor of Science in Computer Science with coursework covering software engineering, algorithms, and systems development.
Tech stack
Software and tools used professionally
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Redis
Webpack
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
Google Workspace
Gemini
Zustand
Google Meet
Airflow
SciPy
Hugging Face
LangChain
LlamaIndex
ChromaDB
Pinecone
CrewAI
ElevenLabs
OpenAI API
Resend
N8N
Faiss
LangGraph
Availability
Location
Authorized to work in
Job categories
Skills
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