Brent Bryan
@brentbryan1
Senior AI engineer specializing in LLMs, generative AI, and production-grade autonomous agents.
What I'm looking for
I am a Senior AI Engineer with 7+ years building production-grade AI systems across finance, healthcare, gaming, and e-commerce. I specialize in LLMs, generative AI, memory-enhanced autonomous agents, advanced RAG architectures, and enterprise integrations, delivering solutions with high availability and regulatory compliance.
I have led multi-agent orchestration, designed knowledge graphs and RAG pipelines, and deployed scalable systems using cloud AI services and MLOps best practices. My work emphasizes robust prompt engineering, multimodal interfaces, and measurable improvements in accuracy, efficiency, and uptime.
Experience
Work history, roles, and key accomplishments
Senior AI (Applied) Engineer
Cohere Health
Jun 2023 - Present (2 years 3 months)
Led development of an AI-powered Clinical Trial Design Platform using multi-agent LLM architectures, improving protocol recommendation accuracy by 72% and maintaining 99.7% uptime while serving 15+ pharma customers.
AI/ML Engineer
Imagine Believe Realize, LLC
Apr 2020 - May 2023 (3 years 1 month)
Developed an AI-powered geospatial intelligence platform and automated document processing pipelines, achieving 89% extraction accuracy and improving data collection efficiency by 38% across regions.
Built backend ML systems for a Talent Intelligence Platform, improving matching accuracy by 47% and supporting 15k+ daily search requests with 99.9% availability.
Education
Degrees, certifications, and relevant coursework
Florida Institute of Technology
Master of Artificial Intelligence, Artificial Intelligence
2015 - 2017
Completed a Master of Artificial Intelligence program focusing on advanced machine learning, deep learning, and AI system development.
Florida Institute of Technology
Bachelor of Computer Science, Computer Science
2011 - 2015
Earned a Bachelor of Computer Science with coursework in algorithms, software engineering, and machine learning fundamentals.
Tech stack
Software and tools used professionally
Google Tag Manager
D3.js
GitHub
Kubernetes
GitHub Actions
NumPy
Pandas
PostgreSQL
MongoDB
Gmail
Node.js
Django
Google Analytics
Neo4j
OpenCV
Redis
Azure DevOps
React
JavaScript
Python
HTML5
CSS 3
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
NLTK
FastAPI
Grafana
Prometheus
GraphQL
Elasticsearch
Azure Cognitive Search
monday.com
TypeScript
Twilio
Zapier
Airflow
GuardRails
s3-lambda
XGBoost
Airtable
Hugging Face
LangChain
LlamaIndex
Weaviate
Weights & Biases
AutoGen
Pinecone
CrewAI
OpenAI API
Langfuse
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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