Duncan Brandt
@duncanbrandt
Senior AI Engineer building GenAI and ML systems for healthcare and video analytics.
What I'm looking for
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
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.
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%.
Junior AI Developer
HCLTech
Jun 2015 - Jul 2016 (1 year 1 month)
Developed gradient-boosted tree models for enterprise churn prediction using XGBoost and LightGBM, achieving 85% precision. Built an LSTM-based sentiment classifier in TensorFlow and implemented automated data pipelines to support ML training across structured and unstructured sources.
Education
Degrees, certifications, and relevant coursework
Regis University
Bachelor of Science, Computer Engineering
2010 - 2014
Bachelor of Science in Computer Engineering at Regis University from 2010 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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