I build production-grade systems that bring together backend APIs, intelligent LLM integrations, and data pipelines — from database schema to deployed product. Based in Zimbabwe, building for the world.
I'm an AI Full-Stack Developer & Systems Architect with over five years of production experience building high-scale applications. From AI-augmented enterprise HRIS platforms to multi-tenant SaaS and serverless LLM infrastructure.
My foundation is Electrical and Computer Engineering from UCT, where I also coached the university to first place at the 2024 CHPC National Cybersecurity Challenge and presented peer-reviewed ML research at SATNAC 2024 in ICS/SCADA intrusion detection.
I don't just integrate APIs — I design the architecture that scales, the database schemas that survive growth, and the Infrastructure-as-Code (Terraform, AWS ECS/S3) that deploys confidently. Currently architecting core microservices, predictive analytics, and conversational AI chatbots for enterprise HR ecosystems at Zimworx.
Cloud-native, AI-augmented enterprise HR Information System engineered for Zimworx to operationalize workforce data across 19 interconnected modules (scaling to 20,000+ team members). Features AI-driven Talent Acquisition with semantic CV parsing and candidate ranking, 72-hour automated onboarding orchestration, Employee Masterfile single-source-of-truth, geofenced attendance, performance appraisals with auto-generated PIPs, and "HIVE Buddy" — an embedded 24/7 conversational AI chatbot. Powered by Node.js/TypeScript microservices, PostgreSQL ACID multi-schema, Redis caching, and Terraform-provisioned AWS ECS and S3 infrastructure.
AI-powered invoice processing and expense intelligence for SMEs. Upload a photo or PDF — OCR extraction pulls vendor, line items, totals, and dates with a confidence score, ready for human review. Built around an approval workflow (pending → approved/rejected) with a full audit log tracking every edit, extraction, and approval by user and timestamp. Includes vendor analytics, multi-currency support, and CSV export.
LLM-powered operations monitoring platform built at Silvrah Global. Real-time anomaly detection, natural language alert summarisation, and a React dashboard — reducing triage time for operational teams.
End-to-end Azure data engineering pipeline. Multi-source retail data ingested via ADF, transformed through a medallion architecture in Databricks (Bronze → Silver → Gold), surfaced in Power BI. Unity Catalog governance from day one.
Multi-tenant retail price intelligence SaaS — backend in active development. Serverless architecture on AWS Lambda, TypeScript throughout, with Amazon Bedrock powering AI-driven pricing insights. Not yet pushed publicly.
Open to remote full-stack, AI engineering, and data engineering roles. Based in Harare, Zimbabwe — comfortable with async-first distributed teams.
Available for full-time remote roles, contracts, and consulting. Strongest fits: full-stack engineering with AI integration, data engineering on Azure, or backend-heavy SaaS teams.
BSc (Hons) Electrical & Computer Engineering — UCT
MSc Electrical Engineering (Cybersecurity & ML) — UCT (in progress)
Microsoft AZ-900 · Azure AI certifications