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Christopher Williams

@christopherwilliams

Results-driven Senior Machine Learning Engineer with extensive AI expertise.

United States
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in AI and machine learning.

I am a Senior Machine Learning Engineer with over 10 years of experience in building scalable machine learning systems and deploying NLP and LLM-powered solutions. My career has been dedicated to driving AI-driven business transformation across various sectors, including healthcare, finance, and retail. I have a proven track record of delivering actionable insights through deep learning and predictive modeling, consistently improving customer retention, fraud detection, and operational efficiency.

At Infosys, I designed and deployed a cutting-edge LLM-powered document Q&A system that improved internal knowledge retrieval efficiency by 70%. My expertise in fine-tuning models and engineering real-time ML pipelines has allowed me to lead successful projects that enhance factual consistency and task resolution accuracy. I am passionate about championing MLOps best practices and implementing robust ML observability stacks to ensure continuous model deployment and monitoring.

Throughout my career, I have developed innovative solutions, such as a multi-modal fusion model for personalized treatment planning at CVS Health and real-time trade monitoring tools at J.P. Morgan. My commitment to leveraging technology for impactful results drives my work, and I am eager to continue pushing the boundaries of machine learning and AI.

Experience

Work history, roles, and key accomplishments

IN
Current

Senior Machine Learning Engineer & Data Scientist

Infosys

Aug 2023 - Present (2 years 10 months)

Designed and deployed an LLM-powered document Q&A system using RAG architecture with FAISS, LangChain, and OpenAI APIs, improving internal knowledge retrieval efficiency by 70%. Fine-tuned LLaMA 2 and Mistral-7B models using QLoRA and PEFT techniques on domain-specific data, reducing hallucinations by 35% and improving factual consistency in enterprise chatbots.

CH

Senior Machine Learning Engineer

CVS Health

Mar 2021 - Jul 2023 (2 years 4 months)

Built and deployed an LLM-based summarization system for EHRs using T5, DistilBART, and BioGPT, reducing clinician review time by 65%. Constructed a multi-modal fusion model using Transformers + CNNs to analyze both genomic sequences and patient imaging data, aiding in personalized treatment planning.

JM

Senior Data Scientist

J.P. Morgan

Aug 2018 - Feb 2021 (2 years 6 months)

Led an initiative to modernize internal ML infra using Kubeflow and Kubernetes, enabling reproducible experiments and scalable training. Developed time-series forecasting models with Prophet, ARIMA, and LSTM, forecasting macroeconomic risks and improving hedging strategies.

TH

Machine Learning Engineer

TheCommerceShop

Jan 2015 - Jul 2018 (3 years 6 months)

Built an NLP-powered smart search system for ecommerce using Elasticsearch, BM25, and sentence embeddings, boosting search-to-purchase conversions by 12%. Engineered a reinforcement learning-based pricing optimization engine, increasing profit margins during flash sales by 10%.

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin logoUA

University of Texas at Austin

Master of Science, Artificial Intelligence

2015 - 2016

Focused on advanced topics in machine learning and artificial intelligence. Completed a minor in Computer Science, enhancing foundational knowledge in algorithms and data structures.

University of Texas at Dallas logoUD

University of Texas at Dallas

Bachelor of Science, Data Science

2011 - 2015

Studied the principles of data science, including statistical analysis and data modeling. Completed a minor in Mathematics, strengthening analytical and problem-solving skills.

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