DuncanB Brandt
@duncanbbrandt
Senior AI Engineer building ML and generative AI systems with RAG, CV, forecasting.
What I'm looking for
I’m a Senior AI Engineer with 10+ years building production machine learning and deep learning systems across healthcare, media, and eCommerce. I specialize in LLM/RAG applications, computer vision, NLP, multimodal learning, and time series forecasting, and I led R&D exploring GraphRAG resulting in two patents.
At Curai Health, I led R&D for Clone M&A and improved core matching functionality using GraphRAG and emerging LLM technologies. I built a generative AI recruiting product with an RAG-based MVP that auto-generates job postings, added keyword/style customization, and implemented multiple security measures against prompt injection. I also developed LangChain bots and chat-based document interaction, deploying containerized, API-exposed services for rapid iteration.
Previously, at Smart Data and HCLTech, I developed ML/DL pipelines for metadata extraction and multimodal tagging, built predictive and real-time vision systems, and engineered data infrastructure supporting 100M+ users and 10x growth. I prepared FDA submissions, authored scientific manuscripts, presented to executives/investors, and improved production performance—such as boosting AWS inference by 60%. I bring strong MLOps discipline (ETL, Airflow, Docker/Kubernetes) and hands-on leadership, including mentoring teams of 6+.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
Curai Health
Mar 2022 - Apr 2026 (4 years 1 month)
Led GraphRAG research and built generative AI products, including an HR-tech RAG MVP that auto-generates job postings with keyword/style customization and prompt-injection security measures. Developed and deployed LangChain chatbot services via APIs, consulted on chat-based document interaction features, and built evaluation/production-readiness workflows for AI-generated code and app behaviors.
AI Developer
Smart Data
Sep 2016 - Jan 2022 (5 years 4 months)
Developed ML/DL pipelines for metadata extraction from media using computer vision, NLP, and multimodal learning, and built PoCs for automatic media tagging. Built large-scale analytics and recommendations infrastructure supporting 10x user growth, led ETL/model deployment automation with Airflow and messaging queues, and delivered time-series forecasting and rare-event detection for gas demand us
Junior AI Developer
HCLTech
Jun 2015 - Jul 2016 (1 year 1 month)
Built GE Healthcare Tube Watch predictive solutions and multi-modal failure prediction algorithms for CT machines, including an NLP classifier to identify failed parts from field support data. Improved AWS-deployed inference performance by 60% through parallelization and algorithmic improvements, developed ECG/PPG anomaly detection and deep learning models for respiration prediction, and prepared
Education
Degrees, certifications, and relevant coursework
Regis University
Bachelor of Science, Computer Engineering
2010 - 2014
Earned a Bachelor of Science in Computer Engineering at Regis University from 2010 to 2014.
Availability
Location
Authorized to work in
Job categories
Skills
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