Summary
Tj Wason is a Staff AI Software Engineer with 12 years of experience building distributed systems and AI-native platforms that span low-latency frontends to terabyte-scale backends. He designs and ships autonomous AI systems, agent frameworks, and LLMOps infrastructure—leveraging foundation models, agentic RAG patterns, and fine-tuning techniques like LoRA/QLoRA to solve real-world business workflows. Comfortable across the stack, he combines Python, TypeScript/Node.js, and RoR with cloud-native infra (AWS, GCP, Kubernetes), event-driven architecture, and scalable data pipelines. His recent work focuses on agentic architectures and human-AI collaboration, integrating multimodal models and streaming conversational interfaces. Based in San Francisco and trained at UBC, he pairs deep systems know-how with practical MLOps tooling experience (LangSmith, W&B, Pinecone) to move models from prototype to production. An understated strength is his breadth across both infra and UX—enabling end-to-end AI product delivery rather than isolated model experiments.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Applied Science (With Distinction) Software Engineering, Bachelor of Applied Science (With Distinction) Software Engineering at The University of British Columbia
English