Jun 2022 – Present · 4 yrs · On-site

• Developing a secure digital identity storage mobile app leveraging Android’s Keystore and Secure Element APIs, enabling users to store and manage digital versions of government-issued ID proofs. Integrated secure cryptographic operations to support seamless verification by authorized personnel. Reduced physical document dependency by 95%, enhancing portability and identity assurance across use cases such as airport verification, hotel check-ins, and government services.
• Developing a CDCVM-enabled wearable payment application tailored for Android smartwatches and NFC-based smart rings. Implemented Contactless EMV stack and local authentication bypass, achieving sub-second transaction times. Improved transaction success rate by 40% in field tests and eliminated the need for PIN entry for small-value transactions, enhancing user experience and wearability.
• Developed UWB mobile application that implemented real-time precise device ranging using Android’s UWB stack APIs and chip-level integrations. The application supported low-latency distance estimation with an accuracy of ±10cm, facilitating multi-device communication and data exchange in complex indoor and outdoor environments. Enabled real-world testing across 20+ scenarios including office spaces, hardware labs and parking spaces.
• Developed a smart home IoT controller app with Android Jetpack components to interact with Wi-Fi and BLE-enabled smart devices such as lights, fans, and speakers. Integrated MQTT protocol. Provided a unified dashboard for real-time control, increasing household automation.
• Designed and deployed a mobile app for managing smart locks, utilizing Bluetooth Low Energy (BLE) for proximity-based access and configuration. Integrated AES encryption for secure command transmission, allowing users to lock/unlock doors, monitor usage logs, and manage permissions. The application reduced manual key usage by 90% and improved household and office access control reliability.

Jul 2021 – May 2022 · 10 mos · On-site

• Optimized simulator logs using C++, reducing execution time by 85% and incorporating advanced debugging features for the Keil SDK debugger to enhance performance and efficiency.
• Enhanced logging accuracy by 95% through detailed post-processing and integrated a call-graph feature, utilizing C++ for improved debugging efficiency and comprehensive data analysis.
• Developed a Windows application in Python to interface with new debugging features, resulting in a 75% increase in debugging speed and leveraging Python’s libraries for effective interaction with the debugging tools.