Summary
Thomas James is a Project Manager and Data Scientist with a decade of applied AI and data science experience and a 15-year background in education and youth leadership that informs his human-centered approach to technical projects. He designs and ships multi-agent AI systems, LLM-driven automation, and geospatial models—delivering measurable gains such as improved wildfire prediction accuracy and faster inference across agent frameworks. Comfortable across the ML stack, he builds ETL pipelines, fine-tunes models (LLaMA, Mistral), deploys via FastAPI/Docker, and leverages GEE and satellite data for conservation and urban monitoring. Thomas has repeatedly led multidisciplinary, impact-focused teams for NGOs and community projects—most notably adaptive AI tutoring for Syrian refugees and seagrass mapping to aid marine restoration. He pairs rigorous experiment-driven model evaluation with strong emotional intelligence from years as a teacher and Scout leader, which helps him translate domain expertise (biology, environmental science, healthcare) into practical AI solutions. Outside work he’s been known to blend chess-like critical thinking with entrepreneurial curiosity, often prototyping novel agent benchmarks and RAG-driven assistants.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering, computer architecture, Master of Engineering, computer architecture at Xidian University
Chinese, English