Gregory Jones

Background

About Gregory Jones

Experienced machine learning professional with 10+ years delivering impactful AI solutions across healthcare, GRC, e-commerce, and retail sectors. I specialize in building production-ready ML systems that solve complex business challenges. Technical Expertise: • Large Language Models & Generative AI (LangChain, LlamaIndex, LangGraph) • Clinical Decision Support Systems & Healthcare AI • Enterprise ML Infrastructure & MLOps • Deep Learning & NLP (PyTorch, Transformers) • Cloud-native ML Deployment (AWS, Azure, Kubernetes) Professional Impact: • Designed AI-driven clinical decision support systems for genetic testing interpretation, improving diagnostic accuracy and accelerating insights for healthcare professionals • Developed automated risk assessment and compliance analysis tools, reducing manual effort by 40% in GRC workflows • Built production recommender systems using matrix factorization and deep learning, enhancing user engagement and content discovery • Engineered secure, HIPAA-compliant AI systems for sensitive healthcare applications Technical Skills: • AI/ML: PyTorch, TensorFlow, JAX, Hugging Face, ONNX, Ray, Vertex AI, LlamaIndex, OpenAI API • LLMs & RAG: LangChain, LangGraph, Vector DBs (Pinecone, Weaviate, Chroma), GPT-4o, Claude, Gemini • MLOps: MLflow, Weights & Biases, DVC, BentoML, Kubeflow, Airflow, GitHub Actions • Cloud: AWS (SageMaker, ECS, Lambda), Azure ML, GCP, Kubernetes, Docker • Data: Apache Spark, Kafka, MongoDB, Redis, Snowflake, dbt, Elasticsearch, TimescaleDB • Languages: Python, SQL, Java, C/C++, R, Go, Rust, JavaScript/TypeScript My approach combines technical expertise with business acumen to deliver AI solutions that create measurable value. I'm passionate about responsible AI development and applying machine learning to solve challenging problems in healthcare, risk management, and enterprise software. Open to connecting with fellow ML professionals, healthcare innovators, and technology leaders.