Dynamic technology innovator with proven expertise in AI/ML on Edge and embedded C, honed at Apexon. Spearheaded groundbreaking projects in IoT and healthcare AI, blending analytical prowess with creative problem-solving. Recognized for patent-pending technologies and leadership in embedded systems design, driving industry-first solutions and advancing global connectivity.
An accomplished technology leader with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), ML on Edge, Internet of Things (IoT), Industrial IoT (IIoT), and Internet of Medical Things (IoMT). Passionate about embedded product design, automotive development, and medical wearables, driving innovation across multiple domains.
Key contributions include:
A recognized expert in sensor networks, embedded systems, board bring-ups, and Linux kernel driver development, continuously pushing the boundaries of AI-driven embedded solutions.
Contributed on the next-generation NB-IoT (Narrowband IoT) over satellite communication, enabling seamless IoT connectivity beyond terrestrial networks. Led the development of Over-the-Air (OTA) firmware updates using NB-IoT satellite links, ensuring efficient and reliable remote device management in low-power, wide-area networks.
Key contributions include:
This work was instrumental in launching the industry’s first-ever product to successfully transmit data over an NB-IoT satellite link, setting new benchmarks in IoT communication, remote device management, and global connectivity.
Played a key role in the firmware design and development for one of the world’s fastest High-Performance Computers (HPC), contributing to its power efficiency, compute optimization, and system management.
Key contributions include:
This work was instrumental in enhancing the performance, power efficiency, and system reliability of one of the world’s fastest HPC systems.
Contributed as a firmware architect and developer, specializing in intelligent control systems, energy metering solutions, and AI-driven analytics across multiple industries.
Key contributions include:
With deep expertise in embedded firmware, hardware design, and AI-assisted analytics, these contributions have helped optimize automation, efficiency, and intelligent decision-making in IoT, industrial, and commercial applications.
Contributed in embedded systems architecture and development, with extensive experience in home automation, energy monitoring, and smart sensing technologies.
Key contributions include:
With a strong foundation in embedded firmware, sensor networks, and intelligent automation, these contributions have advanced smart living, industrial efficiency, and energy optimization.
Embedded C
Python
AI/ML on Edge
Sensors and Devices
Bootloader Development