Patrick McBride
Staff AI/ML Engineer
Summary
Staff AI/ML Engineer with 9+ years of experience building production-grade machine learning systems. Specialized in LLM integration, embedding systems, and scalable ML infrastructure. Currently leading AI initiatives at Verizon and serving as Head of AI at ApplyPass, where I built systems handling 800K+ API requests/month with 3B+ tokens processed.
Experience
Staff AI Software Engineer
Sept 2022 - PresentVerizon • Remote, CA
- •Spearheaded comprehensive AI Chatbot for contract analysis achieving 90% accuracy in deviation detection
- •Directed Neo4j GraphRAG tool for legal contracts, reducing hallucinations in complex document analysis
- •Fine-tuned Llama/Mistral models for insurance language extraction—90% accuracy, saving 5000+ hours/quarter
- •Created GenAI competitive intel chatbot with SQL queries to BigQuery—POC in 2 weeks, MVP in 1 month
- •Developed real-time speech-to-text with Whisper, reducing latency from 30s to 5s
Head of AI & Machine Learning (Co-Founder)
June 2023 - PresentApplyPass • Remote, CA
- •Built entire AI backend with OpenAI API in Python/FastAPI—800K requests/month, 3B tokens/month
- •Migrated GPT-4 to GPT-3.5 achieving comparable accuracy at 5% of original cost
- •Fine-tuned custom GPT-3.5 improving job filter accuracy from 80% to 95%
- •Developed Two-Tower recommendation system boosting match accuracy from 70% to 90%+
Senior AI Software Engineer
Mar 2016 - Sep 2022KLA • Milpitas, CA
- •Developed data storage API with PostgreSQL + MinIO—4X write speed, 6X read speed improvement
- •Created multi-container Docker Compose app for DL inference analyzing 10,000+ images per workload
- •Led SRGAN+CNN image classification team, improving SEM review throughput by 4X
Education
M.S. Materials Science and Engineering
2014 - 2016Stanford University
B.S. Physics
2010 - 2014University of California, Santa Barbara
Technical Skills
LLM & AI
OpenAI API, RAG, GraphRAG, Function Calling, Structured Outputs, Fine-tuning, Whisper, LangChain
ML Frameworks
PyTorch, TensorFlow, Scikit-learn, Hugging Face, ONNX
Infrastructure
FastAPI, AWS, Docker, Kubernetes, Terraform, CI/CD
Data
PostgreSQL, MongoDB, Redis, Neo4j, Milvus, BigQuery