About

Anugrah Sharma is a highly skilled Computer Science Graduate Student at the University of Texas at Dallas, seeking opportunities as a Software Engineer. With a strong technical background, he is flexible in quickly adapting to new technology and tools, making him an asset to any team. Anugrah has helped various Ph.D. Scholars and renowned established start-ups with their projects, showcasing his excellent problem-solving skills. He is a motivated learner dedicated to enhancing his skills, and besides coding, he is also working on his research paper, which got accepted in IEEE-Xplore to restructure the framework of Image Steganography. Anugrah has technical expertise in designing and implementing algorithms using languages such as Python, Java, etc. He is also proficient in creating full-stack web applications using NodeJS and client-side Javascript. Additionally, he has experience in creating machine learning models to predict or classify data into categories. Anugrah has worked as a CS Grader at the University of Texas at Dallas and as a Solutions Expert at Chegg. Currently, he is working as a Software Engineer at Copart. Anugrah has a Master of Science in Computer Science from the University of Texas at Dallas and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from VIT. He completed his schooling at Maheshwari School. Anugrah's tech stack includes Software Engineering, Machine Learning, Javascript, Research Science, Web, NodeJS, Python, and Java. With 1.36 years of relevant experience, Anugrah is passionate about coding and programming and would love to connect over coffee to discuss technology and its advancements. You can contact him at sanugrah007@gmail.com.