Juan Ortega Juan Ortega

MS in Artificial Intelligence & Innovation (CMU) · Deep Learning · NLP · ML in Production · Robotics/HRI

PyTorch Transformers RAG FastAPI Docker Kubernetes Kafka

I build end-to-end ML systems: from data → model → evaluation → deployment. I’m especially interested in applied LLMs, robust pipelines, and human-centered AI.

Quick Info

LocationPittsburgh, PA
ProgramMSAI @ CMU (2025–2027)
FocusDL · NLP · Production ML
AwardFulbright Scholar

Selected Projects

Rehabilitation AI Partner (Research)

Advisor: Prof. Henny Admoni
  • Architecting an RL-driven “Rehab Partner” integrating EMA for state monitoring and JITAI for personalized behavioral feedback.
  • Goal: optimize exercise consistency and long-term physical therapy adherence.
RLHRIEMAJITAI

Movie Recommendation System (ML in Production)

End-to-end pipeline
  • Real-time ingestion via Kafka; containerized deployment with Docker.
  • Recommendation engine using Matrix Factorization; automated scraping for metadata enrichment and tracking.
KafkaDockerMatrix Factorization

Humanoid Robot Navigation Controllers (Undergrad Thesis)

PID vs. Lyapunov-based control
  • Designed and simulated controllers for humanoid navigation on RRT-generated paths.
  • Benchmarked stability, precision, and tracking efficiency.
ControlRoboticsSimulation

Tip: replace any project above with your strongest GitHub repos + add links once ready.

Experience

Mentor IA — Founder & Lead AI Engineer

Dec 2023 – May 2025 · Quito, Ecuador
  • Built a full-stack AI platform with FastAPI + React; Dockerized and hosted on Azure.
  • Engineered multi-agent RAG (Unstructured ingestion + Pinecone) integrating Gemini and OpenAI.
  • Designed data/logging strategy using CosmosDB + MySQL and custom telemetry.
FastAPIReactAzurePineconeRAG

ALLIENT — AI/ML Developer Intern

Sep 2023 – Dec 2023 · Quito, Ecuador
  • Integrated LLM-based scoring into production for automated candidate ranking and rationale extraction.
  • Built a “Top-N” selection algorithm to reduce manual screening time.
  • Established pre-deployment testing protocols for reliability.

Nipro Medical Corporation — Technical Coordinator

Apr 2022 – Sep 2023 · Quito, Ecuador
  • Managed deployment and QA of 250+ medical devices across national healthcare networks.
  • Led technical training sessions for healthcare staff.

Skills

Languages

PythonSQLC++JavaJavaScript (React)

ML / Data

PyTorchTensorFlowscikit-learnTransformersLLMsRAG

Backend / Cloud

FastAPIDockerKubernetesKafkaAzure (CosmosDB)

Tools

GitCI/CDW&BPinecone

Contact

Best way to reach me is email. Links below: