• Building open-source integrations that connect Diffbot's Knowledge Graph with modern AI developer tools like LangChain and Claude Code.
• Designing and delivering library integrations and reusable AI skills in Python and TypeScript that let LLMs query, retrieve, and reason over structured web data.
• Shipping open-source tooling that lets the developer community inject high-fidelity entity data into their own AI workflows and automated applications.

Tech Stack: Python, TypeScript, LangChain, Claude Code, LLMs, Knowledge Graph, RAG, Open Source, AI Tooling

• Contributed across CRO delivery, internal tooling, and product engineering initiatives in a fast-moving experimentation environment.
• Worked on the Laravel + React-based Reform.app platform, contributing to product features and engineering improvements.
• Built an AI-assisted browser automation platform for Adobe Target that automated activity creation, code uploads, analytics configuration, and other enterprise experimentation workflows.
• Improved CRO engineering workflows by building custom tooling, compilation infrastructure, and deployment systems for experimentation builds.
• Performed technical review and engineering support for offshore development contributors.
• Developed custom HubSpot components and React-based frontend integrations for marketing and operational workflows.
• Built custom ESBuild plugins and contributed to a lightweight TSX runtime shipped as part of experiment builds to reduce overhead and improve deployment flexibility.
• Integrated multiple third-party APIs and contributed to backend services within a PHP-based internal platform, including authentication systems.
• Collaborated across engineering and CRO teams to improve experimentation velocity, deployment reliability, and developer experience.
• Leveraged AI tooling and LLM-assisted workflows to accelerate automation, prototyping, and engineering delivery.

Tech Stack: React, TypeScript, JavaScript, Laravel, PHP, ESBuild, TSX, HubSpot, Adobe Target, REST APIs, Node.js, AI/LLM Tooling, Browser Automation, Cursor AI, Claude

• Moved into the internal Product team after years of maintaining and evolving the company's core experimentation infrastructure.
• Developed "Ask Iris," an AI-powered chat interface embedded into the client portal with agentic workflows, real-time data retrieval, market research capabilities, and custom tooling integrations.
• Built AI-assisted systems to automate A/B experiment creation using LangChain, RAG pipelines, Cloudflare Workers, GitHub Actions, Claude Code, and Cursor.
• Architected the "OLI Extension," a custom Cursor extension integrating OLI infrastructure with AI agents via MCP servers, browser automation, and local hosting proxies to autonomously build A/B experiments.
• Focused heavily on integrating AI automations into existing engineering and experimentation workflows.

Tech Stack: TypeScript, React, Tailwind, PHP, Laravel, Python, Node.js, Cloudflare Workers, LangChain, RAG, GitHub Actions, Cursor, Claude Code, MCP, Browser Automation, AI/LLM Tooling

• Focused on engineering enablement, mentoring developers, code review, onboarding, and improving engineering standards and workflows.
• Led the migration of internal systems from vanilla JavaScript to TypeScript, achieving near-complete type safety across the platform.
• Expanded OLI to support additional experimentation platforms and improved compilation and deployment workflows.
• Helped modernise and deprecate legacy systems to improve maintainability, scalability, and developer experience.
• Contributed broadly to internal tooling, engineering infrastructure, and workflow optimisation, and engineer training initiatives.

Tech Stack: TypeScript, JavaScript, TSX, Node.js, ESBuild, REST APIs, Experimentation Platforms, Internal Tooling

• Built enterprise A/B experiments across major client websites like Uber.com, DoorDash.com, Atlassian.com, Ring.com, and many others, leveraging many experimentation platforms including Optimizely, VWO, Convert, and Adobe Target.
• Autonomously architected and scaled "OLI," the company's core experimentation infrastructure, used for local development, compilation, previews, and automated deployment workflows.
• Developed custom build tooling, deployment systems, and platform integrations to improve experimentation velocity and reliability.
• Integrated numerous third-party APIs and internal services into experimentation and deployment tooling.
• Played a key role in evolving internal engineering workflows and experimentation infrastructure over multiple years.

Tech Stack: JavaScript, TypeScript, React, PHP, Node.js, ESBuild, REST APIs, Optimizely, VWO, Convert, Adobe Target, Browser Automation

• Built a Drupal 6/7 system from the ground up to aid in data collection for the state's EPSCoR grant across multiple campuses. Scaled the project to create a generic system utilized by EPSCoR researchers in multiple other states, including Utah, New Mexico, Alaska, and New Hampshire.