James Allen

Delivered enterprise-grade AI MVPs including a BI RAG pipeline, remote patient-monitoring pipeline, and GPT-4o chatbot; designed and optimized end-to-end AI/ML pipelines on GCP to ensure high availability and real-time insights. Led cross-functional teams, mentored ML engineers in LLM fine-tuning and RAG, and implemented MCP infrastructure to support scalable context management.

Developed demand-prediction ML models that improved inventory turnover by 18% across 4,000 stores and implemented NLP chatbots reducing response time by 50%; built machine vision and recommendation systems that cut labor costs and increased conversion rates. Orchestrated PySpark/Kafka/Airflow/Snowflake pipelines and automated deployments with Docker and GitHub Actions.

Integrated Python ML models into manufacturing systems to improve defect detection by 25% and save an estimated $1.2M annually; built scalable Python/Kafka pipelines processing 10 TB/day and developed tools that reduced release times and downtime through predictive maintenance. Championed company-wide Python libraries to standardize controller interfaces and increase reuse.

Completed a Master's degree in Computer Science with coursework and projects focused on advanced machine learning and systems relevant to production-grade AI.

Completed a Bachelor's degree in Computer Science with foundational training in algorithms, software engineering, and machine learning.