I am a seasoned Senior Machine Learning Engineer and Data Scientist with over 9 years of experience designing and deploying scalable AI and machine learning systems across healthcare, e-commerce, and cloud platforms. I specialize in natural language processing, large language models, computer vision, and MLOps, with hands-on expertise in AWS, Google Cloud, and Azure. I enjoy leading cross-functional teams, making architectural decisions, and mentoring engineers to build impactful AI solutions. Currently, I focus on developing clinical AI assistants and retrieval-augmented generation chatbots using state-of-the-art technologies. My passion lies in creating enterprise-grade machine learning solutions that drive operational efficiency and business value, collaborating closely with stakeholders and continuously pushing the boundaries of AI innovation.

Tony Ren

I am a seasoned Senior Machine Learning Engineer and Data Scientist with over 9 years of experience designing and deploying scalable AI and machine learning systems across healthcare, e-commerce, and cloud platforms. I specialize in natural language processing, large language models, computer vision, and MLOps, with hands-on expertise in AWS, Google Cloud, and Azure. I enjoy leading cross-functional teams, making architectural decisions, and mentoring engineers to build impactful AI solutions. Currently, I focus on developing clinical AI assistants and retrieval-augmented generation chatbots using state-of-the-art technologies. My passion lies in creating enterprise-grade machine learning solutions that drive operational efficiency and business value, collaborating closely with stakeholders and continuously pushing the boundaries of AI innovation.

Available to hire

I am a seasoned Senior Machine Learning Engineer and Data Scientist with over 9 years of experience designing and deploying scalable AI and machine learning systems across healthcare, e-commerce, and cloud platforms. I specialize in natural language processing, large language models, computer vision, and MLOps, with hands-on expertise in AWS, Google Cloud, and Azure. I enjoy leading cross-functional teams, making architectural decisions, and mentoring engineers to build impactful AI solutions.

Currently, I focus on developing clinical AI assistants and retrieval-augmented generation chatbots using state-of-the-art technologies. My passion lies in creating enterprise-grade machine learning solutions that drive operational efficiency and business value, collaborating closely with stakeholders and continuously pushing the boundaries of AI innovation.

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Work Experience

Senior Machine Learning / AI Engineer at Abridge (AI Health Startup)
January 1, 2024 - Present
Led efforts to develop LLM-driven clinical assistants, improving provider response times by 30% and automating workflows. Architected a RAG chatbot platform on AWS, increasing tool adoption by 40%. Integrated OpenAI and Claude APIs for clinical summarization and decision support using secure API practices. Built function-calling pipelines for structured JSON outputs, and multi-step agentic chains using LangChain for complex workflows. Implemented vector search and OCR pipelines for medical imaging data. Developed MLOps pipelines integrating SageMaker, Vertex AI, and MLflow, reducing deployment times by half. Designed secure multi-modal FastAPI endpoints integrated with EHR systems. Mentored junior engineers and standardized CI/CD practices.
Machine Learning Engineer / Data Scientist at Amazon Web Services (AWS)
December 31, 2023 - August 20, 2025
Developed scalable ML architectures using AWS services like SageMaker, Step Functions, and Elastic Inference for enterprise clients. Delivered LLM-based knowledge extraction and document automation solutions. Created reference architectures for GenAI-powered chatbots and compliance automation. Tuned foundation models and integrated semantic search with OpenSearch and FAISS. Built compliance scoring and fraud detection ML models using classical approaches. Maintained scalable training workflows with SageMaker Pipelines and MLflow, optimizing multi-region endpoints and inference pipelines. Designed monitoring and data lineage dashboards with CloudWatch, Athena, and OpenSearch.
Data Scientist at Shopify
August 31, 2020 - August 20, 2025
Built personalized recommendation systems and dynamic pricing models that increased click-through rates and customer lifetime value. Developed hybrid collaborative-content recommendation engines and computer vision models for product image tagging and quality scoring, reducing manual effort. Maintained Redis feature stores and implemented real-time ML decisioning with low latency. Created self-service dashboards in Tableau, improving turnaround times for analytics requests. Monitored data quality and collaborated on scalable API design for ML serving. Optimized PySpark jobs and SQL queries to lower AWS EMR costs.
Machine Learning Intern at Google
August 31, 2016 - August 20, 2025
Developed and optimized computer vision models for image classification using TensorFlow, improving inference speeds. Built ETL pipelines for large-scale image datasets and ensured data consistency. Created internal monitoring dashboards using Tableau and SQL. Collaborated cross-functionally to integrate ML models into production APIs.

Education

M.S., Computer Science at Georgia Institute of Technology
January 1, 2023 - December 31, 2025
B.S., Computer Science at Rice University
January 1, 2013 - January 1, 2017

Qualifications

AWS Certified Machine Learning – Specialty
January 11, 2030 - August 20, 2025
TensorFlow Developer Certificate
January 11, 2030 - August 20, 2025

Industry Experience

Healthcare, Retail, Software & Internet