At hSenid Mobile Solutions, I drive quality assurance and production implementation for enterprise CPaaS products, including SMS, voice, and cloud communication APIs. I test functionality, APIs, and user interfaces, and verify stability after production releases.
I also researched Bitcoin transaction behavior for money laundering detection, developing a machine learning framework with time-based transaction metrics and Explainable AI; the work was published at IEEE ICBC 2025. For a student feedback mobile app, I led a team developing a Flutter-Dart app with a Supabase backend, real-time sync, and OTP authentication.
