
Justin Walters
@justinwalters
I build production generative AI platforms, from LLM training pipelines to scalable evaluation infrastructure.
What I'm looking for
At TurbineOne, I build enterprise generative AI platforms for customer-service automation, connecting transcript data, labeling, fine-tuning, evaluation, and production model infrastructure.
I built an RLHF pipeline for conversational AI that improved response accuracy by 25% and reduced escalations by 15%. I also created prompt engineering and automated evaluation frameworks across OpenAI, Anthropic, and Gemini models.
Previously at Caribou Thunder and Google, I delivered scalable AI data platforms, task orchestration, machine-learning services, and dashboards supporting high-volume production workloads. My work has included systems processing more than 600,000 tasks per week and over 1 million records per month.
I also bring backend and full-stack experience from GoodRx, where I developed healthcare scheduling applications and optimized APIs and database performance. I work primarily in Python, FastAPI, AWS, Kubernetes, TypeScript, and React to take AI products from experimentation through deployment.
Experience
Work history, roles, and key accomplishments
Lead Senior Python/AI Engineer
TurbineOne
Nov 2023 - Present (2 years 10 months)
Designed and delivered enterprise Generative AI platforms for customer-service automation, combining LLM fine-tuning, human-feedback optimization, evaluation, AI data pipelines, and production model infrastructure. Built an RLHF pipeline for conversational AI, improving response accuracy by 25% and reducing escalations by 15%.
Senior Python/AI Developer
Caribou Thunder LLC
Jul 2021 - Nov 2023 (2 years 4 months)
Designed and delivered a scalable AI data and task orchestration platform, enabling high-volume annotation workflows, automated dataset quality control, and LLM-powered startup intelligence. Built a distributed quality-control framework for training datasets, reducing manual review overhead by 18% and supporting hallucination reduction in LLM outputs.
Designed and deployed machine learning solutions for computer vision, NLP, and speech recognition applications, supporting 10+ AI use cases across production environments. Built scalable Python and TypeScript services and data pipelines processing 1M+ records per month, improving model-driven workflow accuracy by 20%.
Developed healthcare scheduling applications using Python/Django, React, Angular, and ASP.NET Core, improving booking workflows and reducing scheduling errors by 25%. Built and optimized backend APIs using Django REST Framework and relational databases, reducing average query response times by 30%.
Education
Degrees, certifications, and relevant coursework
University of Tennessee, Knoxville
Bachelor of Science, Computer Science
2013 - 2017
Bachelor of Science in Computer Science from the University of Tennessee, Knoxville, completed in 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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