Mohammad Munem

I am Mohammad Munem, a Computer Science graduate (Master’s) from the University of Canterbury, with a strong foundation in Electrical & Computer Engineering. I am passionate about the convergence of technology and innovation, with a focus on Deep Learning and Software Development.

My professional journey has seen me lead projects in diverse domains, from electric vehicle technology to humanitarian initiatives leveraging AI solutions. During my tenure at Anchorblock Technology, I leveraged data science to analyze extensive datasets, model financial markets, and formulate effective trading strategies.

With over five years of experience at Team Crack Platoon, including the role of Deputy Chief of Electrical , I honed my skills in team management and project planning while contributing to groundbreaking projects in electric vehicle technology.

My commitment to continuous learning is reflected in my academic pursuits and certifications. I hold a Bachelor’s degree in Electrical & Computer Engineering from Rajshahi University of Engineering & Technology, complemented by certifications in Python programming and Machine Learning from reputable platforms like Coursera and DeepLearning.AI.

My expertise extends to research and publications, where I’ve contributed to advancements in electric power load forecasting and wind speed forecasting using innovative techniques such as Bayesian optimization and deep neural networks.

I am fluent in both Bangla and English and able to communicate effectively across diverse settings. I am poised to tackle cutting-edge challenges in the tech industry, armed with a blend of technical expertise, leadership experience, and a relentless drive for innovation.