Hello! I’m Chris Ahn, a Senior Machine Learning Engineer with over 9 years of experience building scalable AI/ML systems across healthcare, autonomous vehicles, e-commerce, and streaming. I thrive on turning data into production-ready solutions and enjoy leading cross-functional teams to deliver end-to-end ML pipelines—from data ingestion to deployment and MLOps. My expertise spans NLP (including large language models) and computer vision, with hands-on work across AWS, Azure, and GCP. I’m passionate about driving business impact through automation, personalization, and cost savings, for both enterprise and startup environments. I’m AWS Certified Machine Learning – Specialty and have a track record of delivering production-grade systems that meet real-world needs. I’m always eager to mentor teammates, standardize ML workflows, and collaborate with stakeholders to translate complex problems into actionable ML solutions.

Chris Ahn

Hello! I’m Chris Ahn, a Senior Machine Learning Engineer with over 9 years of experience building scalable AI/ML systems across healthcare, autonomous vehicles, e-commerce, and streaming. I thrive on turning data into production-ready solutions and enjoy leading cross-functional teams to deliver end-to-end ML pipelines—from data ingestion to deployment and MLOps. My expertise spans NLP (including large language models) and computer vision, with hands-on work across AWS, Azure, and GCP. I’m passionate about driving business impact through automation, personalization, and cost savings, for both enterprise and startup environments. I’m AWS Certified Machine Learning – Specialty and have a track record of delivering production-grade systems that meet real-world needs. I’m always eager to mentor teammates, standardize ML workflows, and collaborate with stakeholders to translate complex problems into actionable ML solutions.

Available to hire

Hello! I’m Chris Ahn, a Senior Machine Learning Engineer with over 9 years of experience building scalable AI/ML systems across healthcare, autonomous vehicles, e-commerce, and streaming. I thrive on turning data into production-ready solutions and enjoy leading cross-functional teams to deliver end-to-end ML pipelines—from data ingestion to deployment and MLOps. My expertise spans NLP (including large language models) and computer vision, with hands-on work across AWS, Azure, and GCP. I’m passionate about driving business impact through automation, personalization, and cost savings, for both enterprise and startup environments.

I’m AWS Certified Machine Learning – Specialty and have a track record of delivering production-grade systems that meet real-world needs. I’m always eager to mentor teammates, standardize ML workflows, and collaborate with stakeholders to translate complex problems into actionable ML solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior Machine Learning / AI Engineer at Abridge (AI Health Startup)
September 1, 2023 - Present
Led efforts to integrate large language models (LLMs) and multimodal AI into healthcare products, building clinical assistant tools and RAG-powered chatbots that improved provider workflow automation and tool adoption. Designed end-to-end ML pipelines on AWS and GCP, integrated secure external AI APIs, and mentored a small team while standardizing MLOps practices.
Senior Machine Learning / AI Engineer at Abridge
September 1, 2023 - Present
Led efforts to integrate LLMs and multimodal AI into healthcare products, designing end-to-end ML pipelines on AWS and GCP, integrating external AI APIs securely, and mentoring a small team while standardizing MLOps practices. Spearheaded LLM-driven clinical assistant initiatives reducing provider response times and automating clinician workflows. Built a robust retrieval-augmented chatbot platform on AWS (Lambda, EKS, S3, OpenSearch) that boosted internal tool adoption. Implemented secure data pipelines using OpenAI/Claude APIs and designed function-calling based structured outputs. Built vector stores for semantic search over millions of clinical notes, and implemented medical image processing/ OCR pipelines.
Machine Learning Engineer at Scale AI
May 1, 2018 - August 1, 2023
Built production-grade ML systems and data-centric pipelines to support enterprise AI across NLP, computer vision, and multimodal projects. Automated dataset curation, improved model feedback loops, and scaled annotation workflows. Co-developed Scale Nucleus for dataset management with embedding-based search (FAISS) and annotation analytics. Led RLHF data curation for LLM fine-tuning, designed annotation taxonomies, and integrated end-to-end MLOps with AWS SageMaker, MLflow, Docker, and observability tooling.
Data Scientist at Netflix
January 1, 2015 - April 1, 2018
Designed and deployed large-scale hybrid recommendation systems and dynamic pricing models to strengthen personalization and operational efficiency. Implemented production ML models for content tagging and quality scoring, reducing manual review effort. Built a Redis-based feature store powering real-time personalized recommendations, and developed latency-optimized REST APIs for inference under peak traffic. Optimized Spark/PySpark workflows to reduce cloud compute costs and created self-service analytics dashboards for product and marketing teams.

Education

Bachelor's degree in Computer Science at University of Houston
January 1, 2010 - January 1, 2014
Bachelor's degree in Computer Science at University of Houston
January 1, 2010 - January 1, 2014
Bachelor's degree in Computer Science at University of Houston
January 1, 2010 - January 1, 2014

Qualifications

AWS Certified Machine Learning – Specialty
January 11, 2030 - June 30, 2026
TensorFlow Developer Certificate
January 11, 2030 - June 30, 2026
AWS Certified Machine Learning – Specialty
January 11, 2030 - June 30, 2026
TensorFlow Developer Certificate
January 11, 2030 - June 30, 2026
AWS Certified Machine Learning – Specialty
January 11, 2030 - June 30, 2026
TensorFlow Developer Certificate
January 11, 2030 - June 30, 2026

Industry Experience

Healthcare, Software & Internet, Media & Entertainment, Professional Services, Transportation & Logistics, Life Sciences, Retail