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Duncan Brandt

@duncanbrandt

Senior AI Engineer building GenAI and ML systems for healthcare and video analytics.

United States
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What I'm looking for

I’m looking to lead end-to-end LLM and ML systems where research rigor meets production reliability—building clinical or video analytics solutions, improving accuracy and safety (hallucination reduction), and mentoring teams.

I’m a Senior AI Engineer with 10+ years of experience architecting and deploying machine learning and generative AI solutions across healthcare, video analytics, and enterprise IT. I’ve led LLM integration at virtual care platforms, and I’m driven by turning research results into production systems that measurably improve outcomes.

At Curai Health, I led a transition from traditional NLP to GPT-3/GPT-4 powered conversational features for a chat-first virtual primary care platform. I designed a multi-stage LLM pipeline for automatic SOAP note generation, reducing physician documentation time by 35%, and I co-created the DERA framework to improve clinical summary quality and care plan generation.

I’ve also built robust ML foundations for real-world impact—creating FHIR R4-compliant EHR data layers, developing knowledge injection techniques to reduce hallucinations in after-visit care instructions, and mentoring 5 junior AI engineers and interns. Earlier, I engineered deep learning video pipelines with YOLO/Faster R-CNN (92% detection accuracy) and deployed BERT-based semantic search to reduce evidence retrieval time from hours to minutes.

Experience

Work history, roles, and key accomplishments

CH

Senior AI Engineer

Curai Health

Mar 2022 - Mar 2026 (4 years)

Architected Curai Health’s transition from traditional NLP to GPT-3/4-powered conversational features for a chat-first virtual primary care platform. Built an LLM pipeline for automatic SOAP note generation (35% less physician documentation time), co-created the DERA framework to improve clinical summary and care plan quality, and mentored 5 junior AI engineers and interns.

SD

AI Developer

Smart Data

Sep 2016 - Jan 2022 (5 years 4 months)

Designed and deployed video analytics pipelines for public safety surveillance, achieving 92% detection accuracy using YOLO and Faster R-CNN. Built a BERT-based semantic search engine to reduce evidence retrieval time from hours to minutes and optimized ML inference with Docker and Kubernetes to cut latency by 50%.

Education

Degrees, certifications, and relevant coursework

Regis University logoRU

Regis University

Bachelor of Science, Computer Engineering

2010 - 2014

Bachelor of Science in Computer Engineering at Regis University from 2010 to 2014.

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