About

Kevan Mehta is a skilled software engineer and computer science graduate from The University of Texas at Dallas. With expertise in Python, ReactJS, Java, JavaScript, PHP, MySQL, and other programming tools such as Firebase, PyCharm, and HTML/CSS, Kevan has developed several projects and provided breakthrough solutions that have helped companies grow. He has experience working as a Full Stack Developer at VDOIT Technologies, where he operated on four different medium to large projects simultaneously and increased the customer base by 40% by resolving critical bugs under time pressure. Kevan has also worked as a Machine Learning Intern at Bhaskaracharya Institute for Space Applications and Geo-informatics, where he led a team of three members and implemented various machine learning techniques to create movie recommendation systems. Currently, Kevan is working as a Computer Science Grader at The University of Texas at Dallas, where he is responsible for grading assignments and projects of students and helping them solve their doubts related to the subject. Kevan is a quick learner with a fun, outgoing personality, and he excels in his ability to work under pressure and handle stressful situations very well. He enjoys solving technical problems, researching and developing new technologies, and designing software applications for different platforms. He also enjoys meeting people and working with them in a team environment. Kevan holds a Master's degree in Computer Science from The University of Texas at Dallas and a Bachelor's degree in Computer Engineering from Pandit Deendayal Energy University. He completed his Class 12th in Science from Kokilaben Dhirubhai Ambani Vidyamandir. Kevan's tech stack includes Python, Software Engineering, Javascript, PHP, MySQL, ML, and Recommendation systems. With 0.35 years of relevant experience, Kevan is a great candidate to contribute to a company's growth and progress.