The projects below represent a selection of systems I have designed and built across different domains, including optimization algorithms, enterprise information systems, cyber-physical products, and AI-assisted decision platforms.

My work generally focuses on problems where operational complexity, uncertainty, and fragmented data make effective decision-making difficult. In these situations, I design systems that combine structured models, software architecture, and domain knowledge to turn messy processes into reliable, analyzable workflows.

Some projects involved building new products from scratch, while others required architecting or integrating large operational systems within existing organizations. Across them all, the goal has been the same: creating tools and systems that make complex decisions clearer, faster, and more reliable.

Complex System Validation

National Taxation System - Combinatorial Validation Framework

2014

In this project, I designed a systematic combinatorial validation framework for a rule-heavy deemed-assessment taxation module, replacing ad hoc testing with repeatable coverage across feasible input combinations. I worked with tax experts and distributed engineering teams to define constraints, derive expected behavior, and execute validation logic that exposed interaction and edge-case failures before release.