Samuel Kabuya

AI Engineer with 2+ years of professional experience designing and shipping AI-powered systems, automation pipelines, and production web applications. Proficient in Python, JavaScript, Django, Flask, and REST API development, with hands-on experience integrating LLMs including OpenAI and Claude APIs into real-world operational workflows. Skilled in AI agent design, prompt engineering, data engineering, and building scalable backend systems.

Passionate about using software and artificial intelligence to eliminate manual work, unlock human potential, and solve meaningful problems at scale. Open to opportunities across AI product development, LLM engineering, backend systems, and AI-driven automation.

Automation Lead and AI Systems Engineer - Dewey Smart - Texas, USA (Remote)

(2024-08 - 2026-05)

EdTech firm delivering AI-powered coaching and student success platforms across the U.S.

• Designed and built AI-powered backend systems integrating OpenAI and Claude APIs into operational pipelines, automating lead segmentation, content generation, and internal task creation using Python, Flask, and Zapier, reducing manual effort by 45% across teams.
• Built a Flask REST API backend integration connecting the Thumbtack external platform to an internal Airtable database, applying RESTful design patterns, webhook handling, and error management for reliable production data flow.
• Wrote and maintained Python and JavaScript scripts to handle dynamic data logic, conditional routing, and API orchestration across production automation systems, improving reliability and scalability.
• Developed AI-connected operational dashboards synthesizing CRM and pipeline data, surfacing 3 key process bottlenecks for leadership and improving decision-making velocity by 25%.
• Designed and deployed end-to-end LLM workflow pipelines combining prompt engineering, API calls, and structured data outputs to drive business process automation across sales and operations functions.

AI Automation Engineer - Kibo School of Technology - New York, USA (Remote)

(2024-01 - 2024-07)

Computer science institution serving Africa-based students, scaling operations across multiple time zones.

• Scoped, developed, and delivered 6 production automation systems across HR, student operations, and communications using Python, Airtable, and Zapier, serving 100+ employees and 500+ applicants per cohort at an average 50% reduction in manual workload.
• Built and documented data processing pipelines with structured validation logic in Python, ensuring scalability and accuracy for the Try Kibo Application workflow processing 500+ submissions per cohort.

Open Source Software Engineer Intern - CodeDay Labs - Seattle, USA (Remote)

(2023-06 - 2023-08)

Nonprofit connecting students to production open source engineering projects.

• Contributed production Python and Django code to Zulip's open source backend, implementing typing notification API endpoints, conducting code reviews, and authoring technical documentation for a platform used by thousands of developers globally.
• Collaborated within a distributed senior-led engineering team, participating in structured code reviews and delivering maintainable, well-tested backend features to a large-scale production codebase.
• Developed an inventory and customer communication system using Airtable and Zapier to automate order processing, stock alerts, and supplier notifications, reducing inventory discrepancies by 40%.

Higher Diploma - Computer Science - Kibo School of Technology (2022-10 - 2024-06)

Bachelor of Commerce - Finance - KCA University (2017-09 - 2021-11)