Jason Ford

I am a Senior Machine Learning Engineer with over 12 years of experience building production grade AI systems and scalable data pipelines. Throughout my career I have worked extensively with Python, FastAPI, TensorFlow, PyTorch, and Hugging Face Transformers to build and deploy machine learning models at scale. I have deep hands on experience with Large Language Models, RAG architectures using LangChain and OpenSearch, and generative AI workflows including prompt engineering and quantized model serving with Ollama and llama.cpp. On the infrastructure side I have built and managed cloud native systems on AWS using services like SageMaker, Bedrock, EKS, Lambda, Step Functions, and Fargate, and I have handled the full MLOps lifecycle using Docker, Kubernetes, Terraform, Helm, ArgoCD, and GitHub Actions. I have delivered end to end solutions across industries including healthcare at LabCorp, insurance at The Hartford, telehealth at Amwell, and fintech at Acorns, and I am comfortable working in fully remote distributed team environments. I am excited about bringing this experience to a role where I can continue designing reliable, high performance AI systems that make a real impact.