Open to opportunities

Christopher Smith

@christophersmith2

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Senior AI/ML engineer specializing in generative AI, NLP, and cloud-native MLOps.

United States

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What I'm looking for

I seek roles building scalable, ethical generative AI and NLP systems with strong MLOps, cross-functional collaboration, and regulatory compliance.

I am a Senior AI/ML engineer with deep expertise in generative AI, large language models, NLP, and cloud-native MLOps, focused on delivering scalable production systems across healthcare, retail, and finance. I design, fine-tune, and productionize LLMs and multimodal models using advanced transfer learning, PEFT methods, and explainability tools to ensure trustworthy outcomes.

I have led teams and projects that implemented HIPAA- and enterprise-compliant AI platforms on AWS and Azure, built vector search and RAG systems with Pinecone/FAISS, and deployed conversational AI and multimodal pipelines that improved automation and user experience. My work emphasizes model governance, bias detection, monitoring, and CI/CD-driven MLOps to maintain reliability in production.

I collaborate cross-functionally with product, compliance, and engineering to align AI strategy with business goals, accelerate feature delivery, and reduce operational costs through optimized training, distributed inference, and robust deployment practices.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Instacart

Jul 2024 - Present (1 year 3 months)

Architected and deployed scalable AI/ML solutions on AWS, accelerating feature rollouts by 35% and improving system reliability by 25% while productionizing LLMs and conversational AI to reduce support response time by 30%.

AWS Sagemaker Lambda Glue Pinecone RAG MLOps

Lead AI Engineer

HCA Healthcare

Nov 2022 - Jun 2024 (1 year 7 months)

Led a team of 7 to deliver HIPAA-compliant generative AI and multimodal solutions on Azure, improving clinical decision support and deploying MLOps pipelines that increased team productivity by 40%.

Databricks AKS Vector Search MLOps

Machine Learning Engineer

Morgan Stanley

May 2018 - Oct 2022 (4 years 5 months)

Engineered predictive models and automated feature pipelines for financial datasets, improving model robustness through rigorous validation and deploying models via SageMaker and CI/CD practices for production use.

XGBoost LightGBM SQL AWS RedShift Airflow Sagemaker MLFlow Optuna

AI Engineer

Nov 2016 - Apr 2018 (1 year 5 months)

Developed large-scale ML models and data pipelines for content ranking and moderation, deploying Dockerized inference services and real-time prediction systems to improve engagement metrics and moderation quality.

Pyspark scikit learn TensorFlow Docker Kafka Redis Flask Onnx A B Testing

Education

Degrees, certifications, and relevant coursework

Columbia University

Bachelor of Science, Computer Science

2012 - 2016

Completed a Bachelor of Science in Computer Science with a focus on software engineering and machine learning; coursework and projects included algorithms, systems, and applied ML.