Sandhya Verma

Led end-to-end delivery of IoT-based SaaS products (Entrivo, EntriWorX Insights), improving reliability by resolving 90% of critical bugs and formalizing cross-component release processes to reduce support escalations.

Led development of test software for Class III medical devices and implemented CI/CD and analytics dashboards, raising CPAP production yield from 93% to 99% through data-driven root cause analysis.

Developed and automated testing for video management systems and led security integration across the SDLC, designing a 360° intruder tracking algorithm integrated into the product dashboard.

Developed and tested the Platform Information Display System (PIDS) for Thomson-East Coast Line MRT, delivering software on time and meeting client quality standards.

Developed next-generation NC controller software and acted as Scrum Master for distributed teams, improving software runtime stability and fixing critical performance issues.

Pursuing a Master of Technology in Artificial Intelligence through ISS, NUS, focusing on advanced AI and pattern recognition topics.

Enrolled in a Graduate Certificate program in Intelligent Reasoning Systems covering AI reasoning techniques and applications.

Enrolled in a Graduate Certificate program in Pattern Recognition Systems focusing on machine learning-based pattern recognition methods.

Completed a Bachelor of Engineering in Electronics and Telecommunication focusing on core electronics and communications engineering.