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Dustin Briscoe

@dustinbriscoe

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I build production AI platforms, RAG systems, and scalable cloud infrastructure for complex real-world workflows.

United States

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I've built production AI platforms at Cogentic Labs, including an AI-powered bid-matching product that reduced processing costs by 30%. I designed LLM parsing, RAG retrieval, conversational assistants, ingestion pipelines, and platform architecture from concept validation through deployment.

At Huxley, I deployed a secure RAG-based digital-health assistant on GCP, Docker, and Kubernetes for personalized addiction-recovery support. I also built retrieval pipelines and reinforcement-learning systems while designing privacy-conscious infrastructure for up to 10,000 concurrent users.

My earlier work spans ML backends at TensorAlchemy, high-performance computing and scientific ML at Hexagon, and distributed enterprise systems at Amazon. I work across Python, TypeScript, Node.js, Kubernetes, AWS, GCP, React, and data platforms to turn complex AI capabilities into reliable products.

Experience

Work history, roles, and key accomplishments

Lead AI Engineer

Cogentic Labs Inc.

Dec 2024 - Jun 2026 (1 year 6 months)

Architected and built a production AI-powered bid-matching platform using Node.js, MongoDB, React, and cloud infrastructure. Designed LLM document-parsing systems and evaluated multiple AI models to guide architecture decisions.

NodeJS MongoDB React Instructor.js Zod GPT 4 Claude Gemini Vertex AI RAG Playwright Kubernetes AWS GCP

Lead AI Architect – Digital Health

Huxley

Jun 2022 - Nov 2024 (2 years 5 months)

Architected and deployed a secure RAG-based AI assistant on GCP using Docker and Kubernetes for personalized addiction-recovery support. Built ingestion pipelines and reinforcement-learning optimization systems to adapt recovery pathways.

GCP Docker Kubernetes RAG Lang Chain Elasticsearch JavaScript BullMQ GPT 4 Reinforcement Learning Istio

Senior Python Developer

TensorAlchemy

May 2019 - May 2022 (3 years)

Developed and optimized Python/FastAPI backend services for production machine-learning workflows. Deployed and fine-tuned ML models on GPU infrastructure and built evaluation workflows to improve model quality.

Python fastAPI Elasticsearch Machine Learning GPU MongoDB CI CD Grafana Prometheus AWS SDK (Boto3)

Senior Research Scientist / HPC Software Developer

Hexagon Manufacturing Intelligence

May 2015 - Dec 2018 (3 years 7 months)

Developed machine-learning models to replace expensive engineering simulations and built a parallel linear-system solver with up to 1,000x performance improvement. Applied Python, scikit-learn, and probabilistic modeling to optimize engineering processes.

Python scikit learn NumPy C++Machine Learning High Performance Computing Parallel Computing Monte Carlo Simulations

Software Development Engineer II

Amazon

Oct 2012 - Mar 2015 (2 years 5 months)

Designed and co-built an internal CRM frontend using React and TypeScript, and developed an end-to-end contact-management system with DynamoDB and Node.js. Co-created a global PR and legal approval workflow using AWS Lambda.

React TypeScript NodeJS DynamoDB AWS Lambda Python CI CD

Software Engineer

Anaveo

Jan 2008 - Sep 2012 (4 years 8 months)

Developed core surveillance-platform functionality including video streaming, recording, playback, motion detection, and alarm handling using C# and .NET. Redesigned the video playback module and built a SQL Server-based recording-management system.

C#.NET WPF DirectShow SQL Server Windows Distributed Systems