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Mark Nyumba@marcusjeicob37854
2
Events attended
2
Submissions made
Kenya
3+ years of experience
About me
I am a Nairobi-based Data Scientist and Geospatial Engineer with a strong background in data analytics, machine learning, AI systems, and geospatial technologies. I work across the full data lifecycle, from cleaning and analyzing messy data to building, evaluating, and deploying models. My interests include practical AI products, LLM-powered applications, business intelligence, and geospatial decision-support tools. I am also building AI-driven solutions such as BiasharaMind and Raimon, focused on business guidance, productivity, and real-world impact.
🤝 Top Collaborators
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🤓 Latest Submissions
FormFit
Lifting alone is how people get hurt. Fatigue breaks your form rep by rep — knees cave, backs round — and nobody's there to call it. A personal trainer fixes that, at $100 an hour. FORMFIT does it from the camera you already own. Point your phone at your set and the app tracks your skeleton live at 25fps. It counts every rep (and refuses to count walking around or fixing your hair), scores your knee, hip and back angles against exercise-specific targets, and fuses rep-velocity decay with form loss into a single effort score — so you know when the set is actually done, not just when it feels done. Coaching cues land mid-set, when they still matter. When you end the workout, an AI coach reads the whole set's telemetry and writes your debrief: what held up, what broke, what to change next session. Every claim traces back to a number in the rep table — proof, not vibes. Then it goes social. Every set becomes a post with your form and effort scores, so friends can follow your training and compete on quality, not just weight. Strava, for lifting. Frontend hand-built in React by a team of five in seven days; backend and database on Natively AI with Supabase.
10 Aug 2026
BiasharaMind AI-Powered Business Consultant
BiasharaMind is an AI-powered business consultant for small and medium-sized enterprises. Many SME owners lack affordable access to structured business advisory support, even though they need help understanding their business performance, identifying priorities, and planning practical growth actions. BiasharaMind solves this by guiding users through a business profile and assessment, then transforming their inputs into clear diagnostics, prioritized business issues, growth roadmaps, and easy-to-understand reports. The platform is designed for SME owners, startup founders, and small business operators who need practical guidance without hiring expensive consultants. Instead of giving generic AI advice, BiasharaMind combines deterministic business scoring with AI-assisted interpretation, roadmap planning, governance checks, repair loops, and final report writing. This makes the output more structured, traceable, and relevant to the business context. For the AMD hackathon, BiasharaMind uses AMD Developer Cloud GPU infrastructure to run and test open LLM inference through vLLM using an OpenAI-compatible API. This allows the platform to generate AI-powered business guidance using models such as Qwen while maintaining a governed product workflow. The long-term goal is to make business consulting more accessible, affordable, and actionable for SMEs, especially in emerging markets where professional advisory support can be costly or limited.
10 May 2026
