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Schedule Interview NowMy name is Shem O. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: React, node.js, Flask, Python, JavaScript, etc.. I hold a degree in Master of Computer Applications (M.C.A.). Some of the notable projects I’ve worked on include: Logistics Ops Platform – Lori Systems, SDK Generator: Kiota – Copilot Plugin & SDK Generator, AI PR Review Agent, Graph LLM Copilot (RAG + Bedrock), AI Onboarding Copilot for Microsoft Teams. I am based in Nairobi, Kenya. I've successfully completed 5 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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8 years
7 Years
7 Years
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Flutterwave
A React + Node.js + Flask-based real-time logistics management system deployed across Kenya, Nigeria, Uganda, and South Africa. Result: Streamlined 100K+ checkpoints/month and enabled $4M in new revenue via platform overhaul for the South African market. Linked to Lori Systems website.
Microsoft's OpenAPI-based SDK generator used in 10+ languages (.NET, Python, PHP, etc.), powering Copilot plugins and Graph SDKs. Result: Cut SDK release cycle from 18+ months to <3 months; achieved 70% size reduction. Includes GitHub repo for Kiota.
An LLM-powered GitHub PR analyzer built using Azure OpenAI + Bedrock. It generates summaries, flags bugs, and suggests improvements to standardize PR quality across teams. Result: Reduced review time by 60%. Includes a video demo and GitHub repo for reference.
A semantic search and prompt chaining assistant for navigating 100+ Microsoft Graph SDKs, using RAG + AWS Bedrock. Result: Reduced search time by 90% in daily usage. Access limited to internal tool.
A RAG-enhanced knowledge assistant built with Azure OpenAI + Teams Toolkit to support Microsoft Graph onboarding, security alignment, and repo search. Result: Cut onboarding from 2 weeks to 2 days. Integrated internally within Microsoft Teams organization.
Master of Computer Applications (M.C.A.) in Software engineering
2012-01-01-2015-01-01