Simon Mbuva Muema

Kenya Power & Lighting Company (KPLC) • Ruaraka, Nairobi, Kenya

Full-time position focused on Digital Operations & Workflow Automation • Designed and implemented AI-powered automation systems to support network operations, reducing data validation time by 40% through intelligent anomaly detection. • Built automated data processing workflows using Python and AI-driven pattern recognition to streamline quality assurance operations. • Evaluated and iterated AI system outputs against accuracy and reliability metrics to minimize errors and improve system performance. • Developed reusable prompt templates and rule-based AI filters for identifying duplicates, incorrect serial numbers, and validation errors across 50,000+ records. • Managed enterprise geospatial databases containing network assets, maps, aerial imagery, and digital records. • Ensured timely availability and accuracy of digitized drawings and GIS datasets to support operational workflows. • Created technical documentation for AI-driven validation processes, enabling team adoption and consistent system use. • Worked closely with engineering, operations, and data analytics teams to integrate AI solutions into existing infrastructure systems. • Provided technical guidance on AI and automation aligned with strategic operational objectives and data-driven decision-making. • Supervised a back-office quality assurance team, leveraging AI tools to improve productivity, accuracy, and turnaround time. • Monitored automation performance metrics and continuously optimized workflows for efficiency and reliability. • Collected and processed geospatial data from satellite imagery, aerial photography, and field reconnaissance to support electricity network maintenance and planning. • Contributed to the development and improvement of customized GIS applications and data management procedures.

Freelance • Remote

Remote position focused on Workflow & Automation Consulting • Assessed organizational AI readiness, identifying gaps, risks, and high-impact automation opportunities. • Audited existing workflows to determine where AI agents and automation could improve efficiency, accuracy, and reliability. • Designed practical, maintainable AI automation strategies aligned with real business and operational needs. • Architected multi-channel AI agents for handling repetitive customer interactions, freeing human teams for high-empathy escalations. • Designed workflows resilient to poor connectivity and low-data environments common in African markets. • Developed conversational pipelines integrating speech-to-text, intent detection, and automated resolution flows. • Optimized agent reliability with fallback routing, monitoring, and human-in-the-loop escalation. • Integrated and automated processes using n8n, Make, Zapier, and Google Workspace automations to reduce repetitive manual work. • Built and deployed AI agents (text and voice) to support internal workflows, customer interactions, and task automation. • Connected AI systems to APIs, databases, and messaging platforms including WhatsApp and internal business tools. • Advised teams on responsible, usable, and maintainable AI adoption focused on real-world impact and reliability. • Supported teams in structuring digital processes, documentation, and knowledge systems around AI tools and automations.