About

Jagadeesh Ravada is a highly skilled Software Development Engineer currently working at Razorpay. He holds a Bachelor's degree in Computer Science and Engineering from IIT Bhubaneswar, where he honed his skills in software engineering, neural networks, and Python programming. With a relevant experience of 2.86 years, Jagadeesh has worked on several projects that exhibit his expertise in the field. One of his notable projects is the Diabetes Detection system, where he developed an Artificial Neural Network using Python NumPy library. He also hypertuned the model to reduce false positives and false negatives. Another project he worked on is the Digit Recognition system, where he developed an Artificial Neural Network using TensorFlow and used Adam Optimiser to speed up the training. He achieved a training accuracy of 90 percent and a test accuracy of 78 percent, which is a remarkable feat. Jagadeesh is also proficient in digital logic simulation and has simulated an 8-bit C-RISC processor using the digital logic simulator Logisim with a 3-stage hardwired control unit. He has also worked as a Software Intern at Wipro and as a Core Head for Events Management at Wissenaire, IIT Bhubaneswar. Jagadeesh's technical skills include software engineering, neural networks, testing, Python, and TensorFlow. He is a highly motivated individual who is always eager to learn and grow in his field. With his exceptional problem-solving skills and attention to detail, he has proven to be an asset to any team he works with. Overall, Jagadeesh Ravada is a talented Software Development Engineer with a passion for technology and a drive to excel in his field.