Selected Outcomes
These examples show the pattern behind the work: connect requirements to product decisions, choose proven engineering paths, and build systems teams can keep improving.
Fintech Platforms
Led and supported engineering for Tonik and Wave Money across mobile, backend, QA, DevOps, wallet workflows, and high-volume banking features. The work covered 3M+ users, large engineering teams, faster release systems, and reliable product delivery in regulated financial environments.
AI Product
Designed an AI platform for therapeutic conversations using LLM orchestration, vector memory retrieval, cloud services, observability, and multi-agent chat workflows.
Automobile and Allied Manufacturing
Helped modernize Excel-heavy sales and cost workflows for manufacturing teams, turning fragmented business inputs into clearer data flows, operational dashboards, and decision-ready analytics that leaders can maintain and extend.
AI Automation
Automated analysis across 150k+ resumes and 10k+ interview transcripts using workflow automation, AI APIs, and Python-based analysis systems.
Enterprise Systems
Built enterprise applications that interfaced with SAP ERP, SAP HCM, SAP CRM, and Microsoft Dynamics CRM, translating complex approval, field-service, finance, and operational workflows into reliable business applications for government and enterprise teams.
Cross-Industry Portfolio
Hands-on delivery across AI, fintech, enterprise mobility, SAP Fiori, CRM, analytics, and cloud-native systems. This breadth shapes my advisory work around clear requirements, proven stacks, maintainable architecture, and teams that can keep shipping.