Ushindi Sidi

I am a results-driven Information Science graduate from the University of Nairobi (Second Class Upper Division) with deep specialisation in Generative AI, Full-Stack Engineering, and intelligent systems design. My academic foundation in data structures, system analysis, and information retrieval is matched by extensive hands-on experience building and deploying production-ready AI applications that solve real problems in agriculture, healthcare, and commerce. What sets me apart is my commitment to execution over theory.

I design scalable multi-agent architectures, write testable and maintainable code, and ship resilient applications using FastAPI, Docker, and modern CI/CD pipelines. I have built systems that handle real agricultural data, serve real users, and are measured against real performance benchmarks. My flagship project, AgroSense, reduced crop disease diagnosis latency by 40% and is live in production.

Generative AI Specialist & Developer at Tison (2024-12 – Present)

Building and deploying Generative AI solutions into production SaaS products with focus on LLM-powered features, intelligent automation workflows, scalable backend services, and AI engineering.

• GenAI Integration: Building and deploying Generative AI solutions into production SaaS products, including LLM-powered features and intelligent automation workflows
• Full-Stack Development: Developing scalable backend services with FastAPI and modern frontend interfaces with React and Next.js
• AI Engineering: Designing RAG pipelines, prompt engineering systems, and n8n workflow automations to streamline business processes

Technical Intern at Kenya National Archives (2024-07 – 2024-09)

Spearheaded digitisation and data integrity initiatives, partnered with cross-functional teams on legacy system migration, and collaborated on security implementation for sensitive archival data.

• Data Integrity: Spearheaded digitisation of 5,000+ documents, implementing strict validation protocols to achieve 99.5% data accuracy
• Collaboration: Partnered with cross-functional teams to migrate legacy systems, improving search retrievability by 40% through standardised metadata
• Security: Collaborated on implementing encryption standards and automated backup routines to secure sensitive archival data

BSc Information Science in Information Science – University of Nairobi (2021 – 2025)

Generative AI Engineering — Fundamentals Certificate in Generative AI Engineering – DirectEd Development (2025-10 – 2025-10)