About

Rahul Sharma is an experienced Research Engineer at Innoviti Payment Solutions Pvt. Ltd. with a strong background in computer science and a passion for cutting-edge technology. With 1.86 years of relevant experience, Rahul has developed a wide range of skills and expertise in various areas of research, including parts-of-speech, SQL, Python, Android, CNN, test, Java, neural networks, PHP, MySQL, web, AI, OpenCV, image processing, deep learning, Javascript, ML, Flask, frontend, and backend. Rahul holds an MTech in Computer Science from the prestigious Indian Institute of Technology, Bombay, where he gained a deep understanding of the latest research and trends in the field. He also holds a Bachelor's degree in Computer Science from the Institute of Engineering and Management, where he honed his skills in programming and software development. In his current role at Innoviti, Rahul is responsible for conducting research and developing innovative solutions that improve the company's payment systems. He is highly skilled in using advanced technologies and tools to analyze data, develop algorithms, and build models that help solve complex problems. Rahul's technical expertise and innovative mindset have made him a valuable asset to the Innoviti team. He is passionate about staying up-to-date with the latest developments in the field and is always seeking new challenges and opportunities to learn and grow. With his strong work ethic, attention to detail, and ability to work well under pressure, Rahul is a highly motivated and dedicated professional who is committed to delivering results.