I'm Mayur Akewar,  rooted in Computer Science and Engineering. As a researcher, my expertise lies in Computer Vision, Natural Language Understanding, and Artificial Intelligence. My profound passion involves utilizing AI's potential to enhance the world we live in. My vision encompasses constructing intelligent systems that drive positive change and have a meaningful impact on humanity.

My AI background encompasses machine learning, deep learning, and algorithmic solutions for issues in computer vision and natural language processing. I have a proven track record in developing AI solutions, conducting research, and collaborating with organizations. I've designed numerous algorithms and fine-tuned machine and deep learning models for applications such as object detection, image, video, audio, and text classification and generation. Through this experience, I have solidified my belief in AI as a potent tool for solving intricate real-world problems.

In addition to my role as a researcher, I am also an educator, teaching computer science courses including algorithm analysis, data structures, discrete mathematics, Python programming, web technologies, machine learning, and cloud computing. I graduated (M. Tech.) from RCOEM, Nagpur, as a GATE-qualified student. My thesis focused on Wireless Sensor Network Deployment, where I developed an algorithm for efficient sensor deployment using geometrical algorithms and Dr. John Nash equilibrium. During my master's, I served as a teaching assistant, collaborating with undergrad students on their projects and practicals in data structures and programming.

I regularly publish reviews and research papers and contribute to Open Source by publishing numerous repositories and pip packages.