Industry Work
Applied Research & Real-World Implementation
This section highlights applied industry work, including collaborations with organizations, data-driven consulting, and real-world implementation of research and analytical methods.
AI Systems Developer
Independent Project / Industry Collaboration
DevCraft – AI Systems Developer (Explainable AI)
OVERVIEW
Designed and developed an Explainable AI decision system to address the lack of transparency in high-stakes AI applications. The system transforms black-box model outputs into interpretable, auditable insights suitable for regulated environments.
Key Contributions
Built machine learning models using Random Forest and XGBoost for decision analysis
Integrated explainability frameworks including SHAP, LIME, and counterfactual analysis
Developed an interactive Streamlit dashboard for real-time decision exploration
Implemented structured input tracking and downloadable audit artefacts for compliance
Designed end-to-end system architecture as a deployable AI solution
Innovation
Combined predictive modelling, explainability, and counterfactual simulation into a single integrated platform—enabling transparent and accountable AI decision-making.
Impact
Converted opaque AI outputs into human-interpretable insights, supporting risk assessment, auditability, and governance in regulated environments. The system was reviewed and validated by DevCraft as a credible, deployable AI product concept.
AI Developer
Industry Implementation
Noor Brands – AI Developer (Fraud Detection & Monitoring System)
OVERVIEW
Designed and deployed an AI-driven fraud detection and warehouse monitoring system to enhance inventory control and operational oversight.
Key Contributions
Developed anomaly detection models to identify suspicious stock movements
Engineered behavioural indicators to detect operational irregularities
Built a real-time monitoring system supporting daily warehouse operations
Designed system workflows to function effectively with incomplete operational data
Deployed and integrated the system into live business processes
Innovation
Introduced AI-based anomaly detection beyond traditional rule-based controls, enabling intelligent identification of hidden operational risks.
Impact
AI Systems Developer
Industry Implementation
Union Stores Limited – AI Systems Developer (Inventory & Security)
OVERVIEW
Designed and implemented an AI-enabled inventory and security system to replace manual record-keeping and vulnerable spreadsheet-based processes.
Key Contributions
Developed role-based access control and secure data management architecture
Implemented irreversible audit locking to prevent unauthorised modifications
Built real-time monitoring for suspicious edits and deletions
Automated reporting for continuous operational visibility
Integrated system into daily inventory workflows
Innovation
Replaced manual and editable systems with a secure, automated framework ensuring data integrity and accountability without reliance on expensive ERP systems.
Impact
Automation Developer
Industry Implementation
Bundu Khan – Automation Developer (Inventory & Operational Analytics)
OVERVIEW
Developed an automated inventory and operational reporting system to replace fragmented spreadsheet workflows with a structured, scalable framework.
Key Contributions
Built a VBA-driven automation system for inventory and reporting processes
Implemented validation controls to ensure data accuracy and consistency
Automated data consolidation and report generation
Designed protected operational summaries for management use
Standardised workflows for inventory tracking and updates
Innovation
Delivered enterprise-level automation using lightweight tools, enabling structured operations without requiring costly ERP infrastructure.