Blake Martin
@blakemartin1
Senior AI/ML engineer specializing in generative AI, LLMs, and production-grade MLOps.
What I'm looking for
I am a Senior Python AI/ML Engineer with over 10 years building and deploying production-grade machine learning systems and 6+ years focused on Generative AI, LLMs, and RAG. I have driven high-impact AI platforms across healthcare, fintech, and edtech, delivering measurable business value through scalable, observable ML and LLM systems.
I design and deploy Hugging Face transformer pipelines, embeddings and vector-search RAG solutions, and LLM-powered microservices on cloud-native infrastructure. I specialize in MLOps/LLMOps—CI/CD, model versioning, monitoring, and automated retraining—to ensure reliable, low-latency production systems that reduce deployment time and model degradation.
Experience
Work history, roles, and key accomplishments
Led development of LLM-powered clinical decision support systems processing millions of EHR records and notes, improving clinical concept accuracy ~22% and reducing hallucinations ~35% via RAG and embeddings.
Built ML-driven transaction classification and financial risk models for millions of daily transactions, improving accuracy ~20% and reducing p95 API latency ~30% with optimized FastAPI inference services.
Machine Learning Engineer
Guild Education
Sep 2017 - May 2020 (2 years 8 months)
Built AI-driven learning recommendation systems that increased course completion rates ~15% and delivered real-time recommendation APIs with automated retraining workflows reducing manual maintenance ~40%.
AI Engineer
Moescape AI
Sep 2013 - May 2016 (2 years 8 months)
Developed ML and NLP systems for a creative content platform, improving engagement ~25% via recommendation and similarity engines and deploying real-time inference services with Elasticsearch integration.
Education
Degrees, certifications, and relevant coursework
Texas State University
Bachelor of Science, Computer Science
2008 - 2012
Completed a Bachelor of Science in Computer Science focused on core computer science principles and software engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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