IoT | Automation | Embedded System Engineer
Md Mahamudul Islam (Afridy) is an IoT, Automation and Embedded Systems Engineer at Axevra, bringing over two years of hands-on expertise in IoT, industrial automation and embedded systems development. He completed his Automation Engineer certification through Industrial Automation Training at BCSIR, specialising in PLC, HMI and IIoT systems.
Md Mahamudul Islam (Afridy) is an IoT, Automation and Embedded Systems Engineer at Axevra, bringing over two years of hands-on expertise in IoT, industrial automation and embedded systems development. He completed his Automation Engineer certification through Industrial Automation Training at BCSIR, specialising in PLC, HMI and IIoT systems.
With four years of competitive experience in the robotics sector in Bangladesh — including active collaboration with BDRO and WROBd — he has built a proven track record of delivering innovative engineering solutions. He is proficient in C, C++, Arduino, ESP32 and Python, with additional skills in PCB design, 3D modelling and circuit simulation using tools such as AutoCAD, Fusion 360 and Easy-EDA.
Prior to joining Axevra, Mahamudul served as a Junior Researcher Fellow at Bangladesh Space Research and Remote Sensing Organization (SPARRSO), contributing to autonomous robotics and space research initiatives. He also designed the curriculum for the Math to Robotics programme sponsored by EMK Center, mentoring students across multiple schools to bridge mathematics with practical robotics.
National Institute of Textile Engineering and Research (2019–2025)
BCSIR — Bangladesh Council of Scientific and Industrial Research
Machine Learning-Enhanced Performance Analysis of an IoT-Enabled Solar EV Charging Station
IoT & Embedded Systems Lead
Axevra Automation Company Limited
IoT Engineer
Bulipe Tech
Junior Researcher Fellow
SPARRSO — Bangladesh Space Research & Remote Sensing Organization
Junior IoT & Automation Engineer
NAF Tech
Volunteer Coordinator
WROBd — World Robot Olympiad Bangladesh
Performance Enhancement of an IoT-Based Solar EV Charging Station Using Machine Learning Techniques — Research Fair 2026, CRIR @ NITER, 29 January 2026
Machine Learning-Enhanced Performance Analysis of an IoT-Enabled Solar EV Charging Station — 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026)
World Robotics Championship — Technoxiam 2023, held in Noida, India. Competed against participants from 70+ countries worldwide.
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