Full Stack AI Engineer with 6+ years building intelligent applications that leverage AI, ML, and modern web technologies. I architect and deploy production-grade AI systems, full-stack applications, and data infrastructure that drive measurable business impact. From LLM pipelines and agentic AI to scalable web platforms and enterprise solutions, I bridge the gap between cutting-edge AI and robust software engineering.
- 🔭 Building AI-powered solutions with GraphQL, React, Next.js, and Python
- 🌱 Specializing in LLM APIs, RAG systems, and agentic AI workflows
- 🚀 Creating intelligent applications with LLMs, custom AI models, and full-stack engineering
- 📊 Designing scalable data infrastructure and MLOps pipelines
- 🤝 Open to collaborations on AI, full-stack, and data engineering projects
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Multi-modal AI support system for caregivers of children with disabilities, using custom RAG architecture to provide instant, accurate answers from specialized medical and legal knowledge bases. 1,000+ Caregivers • 95% Accuracy • 24/7 Support |
Smart Laboratory Management System for Kenyatta University featuring AI-driven SOP automation to accelerate student research and practical preparation. 10,000+ Users • 75% Faster Prep • Real-time Tracking |
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Comprehensive labor market platform connecting Kenyan youth with dignified employment through automated placement tracking and multi-stakeholder verification across 47 counties. 1,000+ Placements • 47 Counties • KES 15K Minimum Wage |
AI-powered platform that automates tender analysis, scoring, and recommendation to streamline bid preparation and improve success rates for consulting companies. 95% Accuracy • 10x Faster • 50+ Platforms |
- AI Application Architecture: Modular, scalable designs separating AI model serving from business logic
- RAG System Design: Advanced retrieval-augmented generation with vector databases and semantic search
- GraphQL API Design: Schema-first development with optimized resolvers for AI model responses
- Full-Stack Architecture: Component-driven development with efficient state management for AI-generated content
- Data Infrastructure: Scalable data pipelines, MLOps workflows, and cloud-native deployments
- LLM Integration Strategy: Layered approach with abstraction layers for prompt engineering and context management
- Senior AI Engineer at Wan AI Labs (Jun 2023 - Present)
- AI Software Engineer at Rightsify Group LLC (Jun 2023 - Aug 2024)
- Software Developer at Zuri Health (Jan 2023 - April 2023)
- Machine Learning Engineer at Upwork (Feb 2021 - Sep 2022)
- AI Facilitator/Trainer at Google Crowdsource (Aug 2021 - Present)
- Technical Writer at Analytics Vidhya (Sep 2022 - Dec 2022)
Bachelor of Science in Biomedical Engineering
Kenyatta University
- Specialized in Health Information Systems and Bioinformatics
- Relevant coursework: Software Programming, Electronics, Database Systems
- Led Machine Learning competitions as Google Developers Student Club ML Lead
"The goal of building production systems is to create solutions that are scalable, reliable, and drive measurable business impact." — Engineering Philosophy
Let me bring AI intelligence and full-stack expertise to your applications!