Sabbir H.

I develop AI and machine learning solutions for smart energy systems, electric vehicle charging, and battery analytics, transforming research-driven ideas into practical, real-world applications. With more than 230 successfully completed projects, Top Rated Plus status on Upwork, and a strong history of delivering high-quality work, I bring both technical expertise and professional reliability to every project. My experience includes developing machine learning and reinforcement learning models for optimization and control, building time-series forecasting models for energy demand and battery degradation, analyzing EV and battery data for state-of-health prediction and second-life battery evaluation, and creating custom AI solutions using Python and TensorFlow. I also develop automated data processing pipelines, dashboards, and reporting tools to help clients gain meaningful insights from their data. Alongside my freelance work, I conduct research at Multimedia University, where I focus on AI-driven electric vehicle charging management. My research has resulted in peer-reviewed publications in journals such as IEEE Access, Scientific Reports, and Energy Reports, covering topics including reinforcement learning for EV charging, OCPP integration, battery management, and second-life battery health estimation. I enjoy solving challenging engineering problems by combining practical software development with a solid research foundation. Whether you need a predictive model, an optimization algorithm, or a complete AI solution, my goal is to deliver results that are technically sound, reliable, and tailored to your specific needs. I'd be happy to discuss your project and explore how I can help bring your ideas to life.