Thomas Bell

Organizational Leader, AI Engineer, Systems Architect, and Digital Technologist

Professional Summary

Accomplished digital technologist with 15+ years of progressive experience spanning software engineering, infrastructure architecture, AI systems design, and executive leadership. Self-taught programmer who has evolved from individual contributor to director-level roles across startups, small businesses, and Fortune 500 corporations. Uniquely positioned to drive AI adoption across the software development lifecycle, having built and shipped production systems at every stage of company growth — from zero-to-one startups to global enterprises with 40+ engineer teams.

Deep hands-on experience designing AI/ML infrastructure, implementing federated learning systems for multi-tenant environments, building agentic LLM applications, and deploying predictive models that directly drive business outcomes. Combines strong foundational understanding of how large language models and AI systems work with extensive expertise in modern software delivery, cloud infrastructure, and organizational transformation.

Core Technical Competencies

AI & Machine Learning

• LLM Integration: Multi-agent architectures with LangChain, Claude, and OpenAI; agentic workflow design; RAG patterns
• ML Infrastructure: Training pipeline automation, federated learning (Flower), on-demand model training environments
• Data & Search: Vector databases (Weaviate, Haystack), graph databases (ArangoDB), predictive modeling (TensorFlow)
• AI-Driven Development: Agentic coding workflows with Claude Code, Codex, Avante.nvim; AI-first development process design
• Compliance & Governance: Cross-tenant data isolation for AI training, SOC-2 compliant AI infrastructure, Open Policy Agent

Programming Languages & Frameworks

• Languages: Python, C#, PHP, TypeScript, Java, Node.js
• Frameworks: Laravel, Django, ASP.NET MVC, React, Angular, Lightning Web Components
• Specialization: Full-stack development, API design, microservices architecture

Infrastructure & DevOps

• Cloud Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
• Container Orchestration: Kubernetes (8+ years), Docker, Istio, Cilium
• Infrastructure as Code: Terraform, Terragrunt, Ansible, Packer
• CI/CD: ArgoCD, Jenkins with Groovy, Bitbucket Pipelines, GitHub Actions
• Specialization: Highly available systems, multi-region deployments, cloud-agnostic architecture, software-defined networking

Professional Experience

Innovation Consultant | Telarus Inc

November 2025 – Present

• Architect and implement AI-driven products for Telarus’ network of technical advisers, integrating LLM capabilities into core business workflows
• Built a multi-agent chat interface using LangChain with Claude and OpenAI models that helps technical advisers streamline supplier selection based on call transcripts and natural language inputs
• Optimize development workflows by designing repeatable AI-first development processes leveraging agentic platforms including Claude Code, Codex, and V0
• Integrate customer feedback into new product concepts using design sprints and modern software delivery practices
• Advise senior leadership on AI strategy, automated infrastructure, and software design practices

Key Achievements:

• Delivered a first-in-class LLM-first application that automates tooling interactions for customers, reducing manual supplier evaluation time
• Established design patterns for fully Salesforce-compliant user experiences using Lightning Web Components and GraphQL
• Pioneered agentic AI-driven development workflows that measurably accelerated feature delivery across the engineering team

Systems Architect | Chargezoom Inc

July 2024 – May 2025

• Architected and implemented data pipelines transforming operational data into actionable formats for marketing and business intelligence teams
• Automated system deployment processes using Bitbucket Pipelines, ArgoCD, and Kubernetes, significantly reducing deployment complexity and time-to-market
• Led comprehensive refactoring of legacy CodeIgniter application into modern services architecture using Laravel
• Designed and optimized overall infrastructure architecture to reduce operational costs while accelerating deployment cycles
• Contributed to talent acquisition by developing standardized hiring processes and evaluation criteria for engineering candidates

Key Achievements:

• Modernized legacy systems while maintaining operational continuity
• Established scalable deployment practices that improved development velocity across the organization

Head of AI Infrastructure Strategy | Deepsee.ai

March 2022 – June 2024

• Led infrastructure strategy for an AI company serving some of the largest banks in the world, where SOC-2 compliance and cross-tenant data isolation were critical requirements
• Recognized that AI/ML workflows have a fundamentally different character from traditional DevOps — these systems begin their journey with production data, inverting the typical development flow — and designed infrastructure accordingly
• Implemented multi-tenant federated learning solutions using Flower, enabling model training across customer data while enforcing strict data isolation policies through Open Policy Agent, Istio, and Cilium
• Built on-demand AI training pipelines with a one-click deployment model, enabling the ML team to rapidly iterate on models using SageMaker, AWS Lambda, and Knative
• Deployed and managed vector database infrastructure (Weaviate, Haystack) and graph databases (ArangoDB) to support AI/ML team requirements
• Led a cross-functional team in developing SOC-compliant, multi-region, cloud-agnostic infrastructure optimizing for both security and economic efficiency
• Provided technical expertise to sales teams for customer engagement and solution architecture
• Championed engineering best practices, establishing standards for continuous deployment, code quality, and infrastructure as code

Key Achievements:

• Designed and built a fully automated, multi-region, cloud-agnostic, SOC-2 compliant AI infrastructure that supported rapid startup growth while maintaining strict compliance for financial services clients
• Developed automated AI training pipelines that gave ML engineers self-service access to on-demand training environments, significantly accelerating model iteration cycles
• Implemented federated learning architecture that solved the core business challenge of training models across sensitive multi-tenant financial data without compromising data isolation

Co-Founder & CTO | HarvestCloud

July 2020 – March 2022

• Co-founded agricultural technology startup focused on optimizing farming operations through mobile-first applications
• Led technical vision, strategy, and execution from concept to market deployment
• Developed deep expertise in agricultural industry dynamics and emerging technology applications
• Collaborated with business co-founder to shape overall company direction and product strategy

Key Learning: Gained invaluable experience in startup leadership, market validation, and the critical importance of aligning technical solutions with proven market needs.

Director of Commerce Platforms | Papa John’s Pizza

June 2018 – July 2020

• Orchestrated enterprise-wide digital transformation from traditional on-premise monolithic systems to cloud-native Google Cloud Platform deployment
• Led organizational adoption of DevOps practices and migration to Kubernetes-based cloud workloads
• Managed global engineering team of 40+ developers based in India, responsible for building next-generation APIs
• Architected core integration APIs for third-party delivery services including DoorDash, Postmates, and Grubhub
• Transformed QA processes, reducing deployment cycle times from one month to three days while achieving 60% reduction in operational expenses

Key Achievements:

• Led complex organizational change in a Fortune 500 environment that accelerated delivery, reduced operational costs, and facilitated top-line revenue growth
• Integrated legacy ordering systems with next-generation APIs, successfully generating new revenue streams on aggregator platforms including Uber Eats, DoorDash, Postmates, and Grubhub
• Led the highest-performing offshore delivery team in Papa John’s history

Director of Engineering | Generation Tux

June 2015 – November 2017

• Led multidisciplinary engineering team building high-volume e-commerce platform using PHP and Python
• Pioneered early adoption and management of Kubernetes cluster deployment on AWS EC2
• Contributed to explosive business growth from $0 to $20+ million annual recurring revenue
• Implemented continuous deployment practices enabling dozens of daily deployments
• Replaced legacy Salesforce-based fulfillment system with custom in-house solution, generating $400,000 in annual cost savings
• Led development of a predictive sizing model using TensorFlow that replaced the company’s physical tape-measure process, which had been a major source of conversion friction and incorrect orders

Key Achievements:

• Developed an AI-driven predictive measurement system that used historical order data and a labeled training approach in TensorFlow to predict customer measurements from three simple inputs: height, weight, and shoe size. This eliminated the need to ship tape measures, reduced returns due to sizing issues, increased website conversion rates, and drove both top-line revenue and bottom-line savings. This approach is now the industry standard for online clothing measurement — Generation Tux was the first mover, and I led the initiative.
• Built a dynamic, multi-disciplinary team that continuously deployed high-value solutions optimizing both technical systems and business operations in a high-growth startup environment

Software Engineer | Yye Software

January 2010 – June 2013

• Collaborated with small business clients to develop custom solutions addressing specific operational challenges using .NET technologies
• Engaged directly with clients to understand business requirements and architect tailored software solutions
• Gained foundational experience in full software development lifecycle and client relationship management

Get In Touch

The best way to reach me is via email at contact@thomasbell.io. You can also find me on GitHub and X/Twitter.