Robert Gan
Machine Learning Engineer @ Availity | Data Science, Machine Learning
- Role
- Machine Learning Engineer at Availity
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Robert Gan
I\'m a Machine Learning Engineer with 5+ years of experience delivering AI solutions in healthcare. My expertise spans ML model development and deployment (Python, Databricks, MLflow), scalable data pipelines, and visualization. I’ve also led initiatives in LLM fine-tuning (RLHF, DPO, LoRA), ontology design, and product optimization.Beyond building solutions, I’m passionate about knowledge sharing. I’ve hosted knowledge-sharing sessions on RLHF, DPO, and LoRA, and delivered technical deep-dives on influential AI research papers (including \"Attention Is All You Need\" and \"REINFORCE Leave One Out – Back to Basics\") at MIT Newman Lab for Biomechanics and Human Rehabilitation. Trilingual in English, French, and Mandarin, with strong collaboration and communication skills.
Experience
Machine Learning Engineer
Apr 2023 — Present · Boston, MA, US
Built a claims-to-concepts pipeline, driving an early ~20% lift in auto-answer rates for Prior Authorization (PA) attestation questions.• Fine-tuned LLMs to convert clinical guidelines into structured JSON logic, improving labeling speed and accuracy by 60%.• Spearheaded Reinforcement Learning from human feedback(RLHF) experiments for medical logic generation, building reusable training pipelines for model optimization initiatives.• Leveraged language models to identify medical documents extraction errors, reaching 90% recall and reducing labelers’ review time by >50%• Designed scalable BERT-based labeling system for complex medical concept extraction, achieving 90% precision/70% recall.• Conducted in-depth data analysis and presented metrics to cross-functional teams, enhancing medical Q&A system performance• Maintained a Python package for medical logic data engineering, ensuring code quality with unit, regression, e2e, and load testing• Implemented and tested internal APIs to abstract complex data engineering processes for medical logic using FastAPI
Education
Georgia Institute of Technology
Master of Science - MS, Industrial Engineering
2018 — 2019
Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
Master of Engineering - MEng, Mechanical and Industrial Engineering
2016 — 2018
Collège Stanislas Paris
Bachelor's degree
2013 — 2016
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