Dan Nguyen
Studied at London School of Hygiene & Tropical Medicine, University of London
Works at Snorkel AI
Available Wednesday at 12:00 AM UTC
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About Dan
I've spent 6+ years working across the AI stack, but my path into it started in biomedical research and academic medicine at Columbia University Medical Center and UCSD Health. That background in clinical and research environments gave me an early lens on where AI could actually move the needle in healthcare, and it shaped how I approached the work that followed. From there I moved into medical imaging AI, first at Enlitic, then at Iterative Health, an MIT spinout, where my annotation strategy contributed to an FDA 510(k) clearance. I then joined Amazon AWS leading LLM evaluations across Bedrock and products including HealthScribe and Q Business, before moving to Snorkel AI, a Stanford AI Lab spinout, where I'm now Group Manager of Delivery Operations building the systems and team structures that scale Expert Data-as-a-Service for enterprise clients working on frontier models. Outside my day job, I co-run a small ceramics consumer brand where I've built the entire AI automation layer from scratch: outreach and lead qualification workflows, an agentic sales coaching assistant for our account manager, and a content and analytics pipeline, all running in production on n8n, Airtable, Cloudflare Workers, and the Claude API. I coach in the AI for Careers category because I've made that journey myself, from clinical and research settings into applied AI, and now into the infrastructure layer behind frontier model development. If you're trying to navigate a pivot into AI or accelerate from where you already are, I'm here to help.
Why do I coach?
I coach because this work sits at the intersection of two things I care about deeply. Professionally, I'm drawn to zero-to-one challenges: I've built annotation operations from scratch, stood up delivery functions at AI startups, and designed production automation systems with no playbook to follow. I bring that same builder instinct to coaching. Personally, I've always been energized by developing people, whether that's growing a team, helping someone step into a harder role, or working through a career pivot with someone who doesn't yet see the path clearly. I made a non-obvious journey from clinical research into AI without a roadmap, and along the way I had people who took a chance on me when my background didn't fit the mold. That meant everything, and I've never forgotten it. Paying that forward is a big part of why I'm here. If you're trying to break into AI, navigate a pivot, or figure out how to level up from where you already are, I want to help you become who you're trying to be.
Work Experience
Group Manager, Delivery Operations
Snorkel AI
February 2026 - Present
Interviewer
Leading a team of 6 Delivery Managers owning end-to-end delivery operations for Expert Data-as-a-Service engagements with frontier AI labs. As part of the Group Manager team, contribute to org-wide strategic initiatives and support the company's core strategic pillars, including standing up delivery operations infrastructure, defining SLAs, and building staffing models.
ML Data Operations Manager
AWS
September 2024 - Present
Interviewer
At Amazon AWS I led LLM evaluation operations within the Human-in-the-Loop org, managing data and evaluation delivery across Amazon Bedrock and four product lines: Contact Lens, HealthScribe, Transcribe, and Q Business. My team operated across the full evaluation stack: human evaluation, LLM-as-a-Judge, automated red teaming, prompt optimization, synthetic data generation, and toxic content filtering. I also designed a serverless data pipeline projected to cut refresh time and costs by roughly half, and scoped an off-the-shelf dataset strategy for multimodal and agentic AI applications that secured early executive support.
Senior Manager, Data Operations AI/ML
Iterative Health
April 2022 - May 2024
Hiring Manager
Iterative Health (IH), spun out of MIT, is a pioneer in AI-driven precision medicine for gastroenterology, leveraging AI and computer vision technology to enhance the diagnosis of inflammatory bowel disease (IBD), colorectal cancer prevention, and clinical trial recruitment. IH has raised $182 million, including $150 million in Series B funding • Led a team of 10 direct reports responsible for data collection, curation, and developing training and validation datasets for AI models • Spearheaded a team expansion, reduced annotation costs, and increased model sensitivity through strategic annotation strategies. • Oversaw the overall production of 183 million labels for R&D initiatives and FDA-cleared product • Overhauled company ontology, developed strategic roadmaps, and led the development of Metabase dashboards for monitoring operational output.
Product Data Operations Manager, AI/ML
Enlitic
April 2021 - April 2022
Enlitic is a leading innovator in AI-driven solutions for radiologists. The company utilizes AI to streamline medical imaging workflows and improve diagnostic accuracy. Enlitic successfully raised a total of $55 million, including $15 million in Series B funding. Enlitic’s technology enhances radiologists’ efficiency by speeding up interpretation and improving accuracy, ultimately benefiting patient care. Serve as Project Manager for $2.6 million Defense Innovation Unit (Department of Defense) project, overseeing day-to day management, in partnership with Project Leads (Project Director, Technical Director), to develop implementation plans, annual workplans, and progress reports. Develop and oversee AI/ML modeling proposals with CMO, product managers, senior data scientists and clinicians to production. Interface and provide technical support to contracted radiologists/labelers encountering platform issues
Data Curator, AI/ML
Passio
August 2020 - March 2021
Passio, an AI company spun out from the Stanford Research Institute (SRI International), provides a Mobile AI Platform that enables rapid development and deployment of mobile AI applications. Its SDKs reach millions daily, enhancing health, fitness, homes, businesses, and lives. The Nutrition-AI SDK powers leading food tracking apps like MyFitnessPal. Enhanced data ontology and label structure, annotated data samples, and improved accuracy of food and item recognition technology. Refined datasets, analyzed low-value data, and resolved platform issues for better user experience. Assisted with QA of datasets and developed competitor analysis reports. Artificial Intelligence (AI), Datasets and +1 skill
Research Manager
UC San Diego Health
September 2019 - April 2021
Hiring Manager
Increased participant recruitment by 40% and retention by 23%, earning the UCSD Health Star Award. Managed a 15-30 person clinical research team for the NIH's Precision Medicine Initiative: All of Us Research Program, under Dr. Lucila Ohno-Machado. Developed project plans, and collaborated with state and federal institutions. Created Power BI dashboards for regular updates and ensured regulatory compliance. Improved workflows across clinics and collaborated with cross-functional teams for project success. Closing Candidates, Dashboards and +2 skills
Senior Clinical Research Coordinator
Columbia University Medical Center
March 2017 - September 2019
Hiring Manager
Team leader: Managed 15 clinical research staff, ensured recruitment met targets and trained new team members for NIH's Precision Medicine Initiative: All of Us Research Program, under Dr. David Goldstein. Developed relationships with clinical staff, monitored enrollment sites, and implemented associated projects.
Education
London School of Hygiene & Tropical Medicine, University of London
Msc, Infectious Diseases
2020 - 2027
Stony Brook University School of Dental Medicine
Bachelor of Science (B.S.), Health Science/ Public Health