Kennedy Muriuki
@kennedymuriuki
Software engineer and AI/LLM specialist delivering scalable, data-driven solutions.
KenyaWhat I'm looking for
I am a software engineer and AI/LLM specialist with 3+ years of hands-on experience building cloud-native AI solutions, evaluation pipelines, and full-stack systems. I focus on translating complex problems into maintainable, data-driven products that deliver measurable impact.
At Scale AI I optimized prompt design and standardized LLM comparisons across GPT-4, Claude, and Mistral, increasing annotator agreement and automating validation to reduce manual effort. I have built backend tools and APIs using Flask and FastAPI and implemented AI-assisted features that improved processing speed and reduced errors in production settings.
My projects include an LLM Output Scoring Dashboard for real-time evaluation and a CodeGen Assistant VS Code extension with prompt-injection hardening and anonymized telemetry. I consistently apply best practices in testing, automation, and telemetry to improve reliability and performance.
I thrive in cross-functional, remote teams and am committed to continuous learning, leveraging Python, C++, Java, TypeScript, cloud services (AWS, Azure), and modern ML tooling to deliver scalable solutions.
Experience
Work history, roles, and key accomplishments
Optimized prompt design and evaluation workflows to increase annotator agreement by 20% and automated Python pipelines that reduced manual validation effort by 40%, standardizing LLM output comparisons across GPT-4, Claude, and Mistral.
Software Engineer Intern
Benchly
May 2023 - Aug 2023 (3 months)
Built Flask/Python backend tools that reduced document tagging errors by 30% and developed API testing and optimization scripts that cut latency by 22%, plus an AI-assisted summarization POC using OpenAI API and Azure Functions improving processing speed by 25%.
Undergraduate Researcher
Maseno University
Sep 2021 - Feb 2022 (5 months)
Conducted sentiment and entity extraction research achieving 95% accuracy, developed scraping and preprocessing pipelines that reduced data collection time from weeks to days, and improved labeling consistency by 18% via pairwise annotation evaluation.
Education
Degrees, certifications, and relevant coursework
Maseno University
Bachelor of Science, Information Technology
Completed a BSc in Information Technology with coursework in Machine Learning, Natural Language Processing, Databases, and Parallel Programming.
Tech stack
Software and tools used professionally
Availability
Location
KenyaAuthorized to work in
Job categories
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