B.T. Franklin
Phoenix, Arizona
Applied AI Technical Lead
602-247-0439 | brandon.franklin@gmail.com
btfranklin.info | github.com/btfranklin
Professional Summary
Applied AI technical lead and software architect with 20+ years of experience across enterprise software, developer tooling, and product-facing systems.
- Focused on generative AI, large language models (LLMs), agentic systems, and AI product architecture.
- Experienced in moving emerging AI capabilities into useful engineering workflows and product experiences.
- Combines full-stack engineering depth with product thinking, UX sensibility, technical leadership, and published computational creativity research.
Core Expertise
- Applied AI and Large Language Model (LLM) Systems
- Agentic Workflow Design and Evaluation
- AI Product Architecture
- Developer Experience and Platform Tooling
- Full-Stack Product Engineering
- Technical Leadership
Professional Experience
Zilliant, Inc.
AI Tech Lead / Staff Software Engineer
April 2025 - Present
- Serve as organization-wide AI technical leader, guiding engineering teams on adoption of large language models (LLMs), agents, evaluation practices, and modern AI development patterns aligned with business goals.
- Architected the company's first Model Context Protocol (MCP) server and directed implementation by a third-party contractor, opening new enterprise revenue opportunities.
- Drove broad adoption of AI tooling across engineering, contributing to a significant increase in developer productivity.
- Provided ongoing mentorship to engineers at all levels of seniority.
Software Architect
August 2022 - March 2025
- Designed and implemented a custom generative AI pipeline that enabled real-time integration of diverse pricing insights into customer-facing analytics experiences.
- Led integration of AWS QuickSight and Amazon Q, improving data visualization capabilities, accelerating user adoption, and enhancing customer decision support.
- Designed and launched the Zilliant Developer Experience (ZDX) CLI, streamlining internal and external developer workflows and substantially reducing configuration migration effort.
- Helped shape architectural direction across AI, analytics, and developer enablement initiatives.
Staff Software Engineer
February 2020 - August 2022
- Directed UI/UX strategy for enterprise Salesforce implementations, improving usability and aligning product experiences with business objectives.
- Developed strategic proof-of-concept solutions that influenced company-wide technology direction and adoption decisions.
- Facilitated collaboration across globally distributed teams to align implementation choices with broader technical strategy.
Senior Software Engineer
January 2009 - September 2019
- Championed adoption of Salesforce Lightning Web Components, contributing to major UI modernization and improved application performance.
- Led development efforts on SalesMax and mentored interns through successful product delivery, increasing usability and competitiveness.
- Contributed across full-stack engineering, front-end architecture, and product modernization initiatives over a decade of platform evolution.
Selected Founder-Led AI Products
RepoZest
Founder / Product Architect, 2026 - Present
- Building an AI-powered organizational intelligence platform for GitHub repositories that analyzes architecture, contributor expertise, repository history, and live development activity to produce actionable engineering insights.
- Own end-to-end product execution, including opportunity definition, product strategy, system architecture, UX, AI pipeline design, GitHub integration model, and go-to-market positioning.
Hiredar
Founder / Product Architect, 2025
- Conceived, architected, and launched an AI recruiting platform focused on resume parsing, structured candidate extraction, and AI-assisted candidate-to-role matching.
- Led the full product lifecycle independently, including product strategy, application architecture, full-stack implementation, UX design, deployment, pricing model definition, and live-market validation.
Selected Open Source AI Work
- Built and published open source AI and developer tooling spanning agent orchestration, AI grounding, prompt engineering, and engineering automation.
- Notable projects include agentic-django, a Django-native framework for multi-step agent workflows; compendiumscribe, a tool for generating structured knowledge compendiums for AI grounding; and promptdown, a structured prompt engineering library for modular large language model prompt design.
Additional Experience
- Senior Salesforce Engineer, Camping World, Inc. (Sep 2019 - Feb 2020): Rewrote a complex store location management application using a more extensible architecture and modern development practices.
- Senior Software Engineer, Confirma, Inc. (2006 - 2008): Refactored medical imaging software, expanding clinical applicability and strengthening product value.
- Senior Software Engineer, Teranode Corporation (2005 - 2006): Built intuitive data-management interfaces that improved user productivity and accuracy.
- Software Engineer, Digital Harbor, Inc. (2000 - 2005): Developed data-driven user interfaces supporting strategic analysis and decision-making.
Research and Publications
- Franklin, B.T. "Spooklight: A Generative Approach to AI-Driven Storytelling," Proceedings of Generative Art Conference, vol. 27, Dec. 2024, pp. 50-59.
- Franklin, B.T. "Resonant Element: An Application for the Continuous Generation of Pop-Inspired Music," Proceedings of the 3rd Computer Simulation of Musical Creativity Conference, Aug. 2018.
- Franklin, B.T. "SongSkill: A System for Continuous, Emotionally-Adaptive Music Generation," Proceedings of Generative Art Conference, vol. 19, Dec. 2016, pp. 124-37.
Education
Transylvania University, Lexington, KY
BA in Computer Science, 1997
Minor in Psychology
- Graduated with Honors
- Recipient of the Computer Science Award
- First student in school's history to complete three Senior Honors projects
Skills
Programming Languages: Python, Java, JavaScript/TypeScript, Apex, Swift
Technologies: Large Language Model (LLM) Applications, Agentic Systems, Model Context Protocol (MCP), REST APIs, Salesforce Lightning, AWS QuickSight, Amazon Q, Visual Studio Code, oclif
Methodologies: AI Development, Prompt Engineering, Large Language Model (LLM) Evaluation, Agent Evaluation, Agile
Other Skills: Software Architecture, AI Product Architecture, Full-Stack Development, UI/UX Design, Developer Experience, Git, Perforce, Jira, Confluence, HTML/CSS