AI ENGINEER
ENERGY INDUSTRY|GREATER HOUSTON
David Fernandez
AI ENGINEER
Houston, TX
AI Engineer with 5 years of engineering and 3 years building production AI/ML systems. From adaptive learning to blockchain fraud detection to industrial predictive maintenance. I take models from notebooks to production. M.S. in AI at CU Boulder.
Experience
Education
Skills
Open Source
Portfolio
Production ML systems | Predictive maintenance, anomaly detection, real-time classification, and MLOps platforms deployed at scale.
Ventures
SpecVault
RAG system with vector search and traceable citations from uploaded PDFs.
Next.js 16 • React 19 • TypeScript • Supabase pgvector • Voyage AI • Groq • VercelAltaviz
MLOps platform processing 50k+ sensor readings through medallion architecture with drift detection and retraining.
PySpark • Delta Lake • PostgreSQL • Streamlit • Plotly • Docker • TerraformExperiments
Predictive Agent
LSTM model extending maintenance intervals 15-20%. Trained on NASA C-MAPSS turbofan dataset.
Python • Scikit-Learn • LSTM • Plotly • Docker • CI/CDCompliance Agent
Multi-agent RAG automating compliance validation, reducing audit prep time 60%.
PydanticAI • DSPy • Mistral • Python • FastAPIAnomaly Agent
Isolation Forest anomaly detection on streaming sensor data with automated root cause analysis. 92% precision.
Python • Isolation Forest • Gradio • Time-Series • DockerVision Agent
Qwen2-VL pipeline generating structured assessments with severity classification. Reasons about context, not just objects.
Qwen2-VL • Transformers • Python • Gradio • Docker • ONNX Runtime