Open to opportunities

Christopher Williams

@christopherwilliams1

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Senior Machine Learning Engineer specializing in LLMs, MLOps, and production AI systems.

United States

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What I'm looking for

I seek roles building production LLM and real-time ML systems with strong MLOps, cloud-native infrastructure, collaborative teams, and clear impact on product or clinical outcomes.

I am a results-driven Senior Machine Learning Engineer with over 10 years building scalable ML systems and leading AI-driven transformation across healthcare, finance, and retail.

I design and deploy LLM-powered solutions, including RAG pipelines, fine-tuning (QLoRA/PEFT), and prompt engineering to improve factual consistency and reduce hallucinations.

My work spans cloud-native real-time ML pipelines, MLOps, model observability, and streaming anomaly detection, delivering measurable improvements in retention, fraud detection, and clinician efficiency.

I champion reproducible infrastructure, feature stores, and privacy-aware techniques (differential privacy, federated learning) to enable safe, scalable production ML.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Infosys

Aug 2023 - Present (2 years 10 months)

Designed and deployed LLM-powered RAG document Q&A and vectorized ingestion pipelines, improving internal knowledge retrieval efficiency by 70% and reducing hallucinations by 35% through fine-tuning and prompt engineering.

RAG Faiss Hugging Face Sagemaker Kafka PyTorch

Senior Machine Learning Engineer

CVS Health

Mar 2021 - Jul 2023 (2 years 4 months)

Built LLM-based EHR summarization and multi-modal fusion models, reducing clinician review time by 65% and enabling personalized treatment planning while centralizing features and automating ML pipelines to cut deployment time by 40%.

Transformers Docker Airflow Federated Learning

Senior Data Scientist

J.P. Morgan

Aug 2018 - Feb 2021 (2 years 6 months)

Modernized ML infrastructure with Kubeflow/Kubernetes, developed time-series forecasting and real-time trade monitoring tools, improving regulatory compliance response time by 30% and enhancing signal detection from financial news.

Kubeflow Kubernetes Prophet Delta Lake BERT Time Series NLP

Machine Learning Engineer

TheCommerceShop

Jan 2015 - Jul 2018 (3 years 6 months)

Built NLP-powered smart search and pricing optimization engines, boosting search-to-purchase conversions by 12% and increasing flash-sale profit margins by 10% while processing large-scale ETL workloads.

Elasticsearch BM25 Reinforcement Learning XGBoost Kafka MongoDB ETL