About

Hi, James Thompson here. With a foundation as a Fullstack Software Engineer, I've built my career developing innovative solutions that enhance decision-making and drive business success. Currently building Generative AI and Machine Learning products and applications, I bring a disciplined approach to innovation and a proven track record of delivering complex technical solutions that create real business value by working with product and program teams focused on a commitment of consistent delivery.

My recent focus has been an immersive postgraduate program in AI/ML Business Applications at UT Austin's McCombs School of Business, where I've implemented Machine Learning models and Deep Neural Networks across multiple industries. This work spans recommendation systems utilizing Generative AI, LLMs, ChatGPT, Deep Learning, NLP, Computer Vision, and Data Analytics.

At AT&T working for the Chief Data Office, I single-handedly transformed a loosely defined requirement into a full-stack production application on Azure that eliminated 45+ hours of daily manual processes for 15+ cross-functional teams. From requirements gathering to security audits, I managed the entire development lifecycle.

As Technical Lead at Rackspace for their Design System, I led a team that created a platform used by 18+ product development teams, saving thousands of developer hours and accelerating go-to-market timelines. My expertise in automated CI/CD, web technologies, and accessibility guidelines helped establish scalable solutions that delivered measurable business impact. I built a design system based on Web Components before they were cool...are they cool yet?!

At Planview, I wore the Sales Engineer hat for two years, juggling multiple responsibilities. I kept our SAFe solution consultants current and productive with major releases and monthly patches for a massive network of 100+ production servers—no small feat! Working alongside 20+ consultants, I became the integration guru for Planview's product suite, connecting the dots for businesses from mid-market players to enterprise giants. My technical toolkit during this time was diverse: from managin and deploying Windows Server technologies to crafting automated test scripts, while utilizing Datadog, SQL Report Server, and Power BI. This wasn't just technical work, as I was essentially the bridge builder ensuring Planview's solutions fit perfectly into our clients' ecosystems by providing client-facing product demos and requirements gathering sessions.

Some highlights (not an exhaustive list):

• AI Applications, Agentic RAG and Chatbot Implementations
• Train and Deploy Deep Neural Networks
• Serverless LLM Inference Deployments
• Full-Stack Development (Next.js, Python, React, TypeScript)
• Multfactor Authentication Secure CI/CD Production Release Pipelines
• FrontEnd: Next.js, React, Tailwind, Shadcn/ui, Drizzle, Zod, TypeScript
• Backend: Python, Next.js/React SSR, Serverless, AWS Lambda, PostgresSQL
• Design Systems Engineering
• REST API Development