As a Key Technical Solution Architect, I bring a wealth of experience in embedded hardware, firmware, and software design and development to the table. My passion for innovation has driven me to explore cutting-edge solutions that solve critical challenges in the industry. I have also played an instrumental role in marketing and business development, helping to secure key partnerships and drive growth for my team. Through my leadership, I have spearheaded numerous projects, including:1) Developing a large-scale, low-power IoT sensing node that utilizes LoRaWan and GPS technology to improve data accuracy.2) Designing a low-noise, high-speed optical sensing solution for high-speed optical imaging applications.3) Creating a custom SOM-based design for ultrasonic imaging and camera vision.4) Designing a low-power health-tech wearable that has the potential to transform the way we monitor and manage our health.5) Developing a fully cloud-connected medical device that utilizes BLE-based sensing nodes, custom embedded electronics hardware, a mobile app, and cloud system.6) Developing a customized computing system with a wearable form factor for camera vision applications, offering a unique and innovative solution to a critical industry challenge.Overall, my track record of success and my passion for innovation make me a valuable asset to any team looking to drive growth and push the boundaries of technological advancement.

+ Played a critical role as a Research Engineer in a joint collaboration between the lab, P&G, and A*Star.+ Responsible for project management, fundraising, product conceptualization, hardware design, and firmware programming.+ Designed and developed cutting-edge projects, including Smart Wearables and Medical Devices in 2017.+ Successfully completed projects on time, within budget, and to the highest standard.+ Highly skilled and motivated with a proven track record of success.+ A team player with excellent communication and problem-solving skills.+ Passionate about innovation and eager to take on new challenges in the field.

+ Created a patient-specific epilepsy prediction algorithm utilizing Matlab and C/C++ environments that can predict epileptic events up to 20 minutes prior to occurrence.+ Designed a cost-effective, high-resolution (24-bit), and low-power 6-channel EEG acquisition system using the latest AFE IC technology. This system is significantly more affordable than commercially available mobile EEG systems.+ Developed a Bluetooth Low Energy firmware module for TI's Tiva C series MCU, along with a C# App to facilitate communication with the device.+ Programmed the firmware to enable live epilepsy prediction on the mobile hardware platform.+ Managed clinical studies, including database stratification and operation management.+ Created a CMS for the center, saving several thousand dollars in development costs.

Biospry develops low-cost medical solutions for the masses because healthcare should be for everyone.Product Development and direct research direction in:1. Bed Fall Prevention2. Lower-limb Rehabilitation for stroke recovery3. Seizure Prediction4. Heart Attacks prevention and early detectionAlso involved in Business development and company's operations.