Fredrick Maina
@user_fred
Software engineer and technical co‑founder delivering scalable, AI-powered products with measurable impact.
What I'm looking for
I am a software engineer and technical co‑founder with experience building scalable, AI-powered applications and leading end-to-end platform development for university pilots and fintech products.
I led architectural decisions that improved unit economics by 70%, reduced cloud costs and deployment times, mentored junior engineers, and delivered production RAG, knowledge-graph, and ML solutions integrating FastAPI, React, and Azure services.
I collaborate closely with product, design, and education stakeholders to translate learning science and user research into intuitive UX, while maintaining high uptime, CI/CD practices, and a focus on measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Software Engineer
Interlearn.ai
Apr 2024 - Nov 2025 (1 year 7 months)
Co‑founded and led end-to-end platform development for an education SaaS used in 3 university pilots, achieving 65% user engagement and maintaining 95% uptime while reducing monthly cloud costs by 70%.
Mentored 2 junior engineers through structured code reviews, pair programming sessions, and task delegation, resulting in 40% faster PR merge times and improved code quality scores
Mobile App Developer
Artohm (Founders Factory Africa)
Jan 2024 - Mar 2024 (2 months)
Led technical development of a cross-platform mobile app using Flutter and Supabase, delivering an MVP across iOS and Android within a 10-week accelerator timeline and contributing to product strategy and go-to-market planning.
Software Engineer
Dukatech Solutions
Feb 2023 - Jan 2024 (11 months)
Delivered two fintech products focused on financial inclusion, led frontend architecture and design system work that reduced feature development time by 30% and translated stakeholder needs into technical specs.
Machine Learning Engineer
Predictive Maintenance Solution (X-Failure)
Apr 2023 - Oct 2023 (6 months)
Architected an end-to-end predictive maintenance platform using React, Django, and LSTM models achieving 82% prediction accuracy and estimated a 25% reduction in equipment downtime (~200 hours annually) via real-time dashboards and automated alerts.
Education
Degrees, certifications, and relevant coursework
Daystar University
Bachelor in Applied Computer Science, Applied Computer Science
2019 - 2023
Activities and societies: Relevant coursework: Software Engineering, Operating Systems, Algorithms, Artificial Intelligence, System Design, Human-Computer Interaction; certifications: Google UX Design, IBM & Darden Digital Strategy, Data Analysis (Udacity).
Completed a Bachelor in Applied Computer Science with coursework in software engineering, algorithms, AI, and system design; engaged in projects and certifications in UX and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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