Muthoni Kang'ethe

Software & Data Practitioner | Digital Systems & AI

Data Entry AssociateData Entry SpecialistTutorWeb DeveloperComputer engineerData AnalystData EngineerData ScientistML EngineerTech SupportProject ManagerProduct ManagerQA EngineerFrontend DeveloperEducationEngineerData EntryIT

I view software engineering and data operations not merely as technical tasks, but as tools to bring order to complexity and create operational leverage. My career has bridged the rigorous, high-stakes environment of global international organizations with the rapid iteration of agile tech startups. I have architected and managed secure digital ecosystems that supported over 1000 international policy experts, maintaining 99.9% uptime during critical global assessment cycles. I balance this institutional scale with a startup operator's mindset, having spearheaded the technical rollout of mobile applications and restructured complex backend product catalogs to drastically reduce time-to-market. Recognizing that the future of scalable architecture lies in intelligent automation, I recently completed advanced training in Machine Learning, Systems Design and Agentic AI. I am currently exploring opportunities in engineering, technical product operations, and AI integrations, and I am always open to connecting with founders, engineering leaders, and innovators who value resilient architecture and technology grounded in real-world impact.

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Work Background

Assessment Specialist

UN Environment ProgrammeAssessment Specialist

Sep. 2022Nairobi, KenyaGlobal Environment Outlook

Product Development Associate

WINGIProduct Development Associate

Jan. 2022 - Dec. 2022Nairobi, Kenya

Product Development Intern

WINGIProduct Development Intern

Oct. 2021 - Dec. 2021

Intern Developer

BioCardIntern Developer

Jul. 2020 - Jan. 2021Nairobi, Kenya

Intern

United Nations Office at NairobiIntern

Jun. 2019 - Dec. 2019Nairobi, KenyaDivision of Conferencing Services

Intern

AkiraChixIntern

Dec. 2015 - May. 2016Nairobi, Kenya

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Personal Pitch

Opportunities in AI, Data Science, and Tech Project or Product Management

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