Project Portfolio
Real-world systems built for real business problems. Each project showcases a different domain and technical challenge.
Having to take notes and track action items manually during meetings, leading to missed requirements.
Built an AI-powered Scrum Master assistant that consumes meeting transcripts, generates various work items (Epics, Features, User Stories) and upon confirmation (human in the loop), creates these items in Azure DevOps with proper hierarchical relationships.
Increased team productivity by 60% and reduced missed follow-ups by more than 50%.
Financial services firm spending about 15 hours/week on manual email review and data extraction.
Implemented an agentic workflow with LLM-powered email analysis to automated email classification, attachment extraction and classification, attachment conversion for OCR processing, and workflow orchestration.
Reduced manual processing time by about 70%. Annual savings of about R3M in third-party services.
Manual recruitment processes causing 3-week average time-to-hire and high administrative overhead.
Built an automated recruitment platform with CV parsing, candidate scoring, interview scheduling, and an integrated dashboard.
Reduced time-to-hire by 65%. HR team productivity improved by about 40%.
Property management company relying on spreadsheets and manual processes for 30+ properties.
Developed a full rental management platform with property listings, tenant portal, lease management, and payment processing.
Eliminated manual data entry, saving 20+ hours/week and reducing billing errors by about 95%.
Logistics company losing R50k/year due to inventory discrepancies and manual tracking errors.
Built a real-time inventory system with barcode scanning, automated reorder alerts, and multi-warehouse support.
Inventory accuracy improved to 99.8%. Annual losses reduced by 80%.
Payment gateway experiencing R1M+/year in fraudulent transactions with reactive, rule-based detection.
Designed a real-time fraud detection pipeline using ML models, behavioral analysis, and event streaming.
Fraud rate reduced by 78%. False positive rate below 0.5%, improving customer experience.
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