About

Abhishek Kumar is an experienced R&D Engineer currently working at Next Education India Pvt Ltd. With over 6 years of relevant experience, Abhishek has a strong background in developing and implementing innovative solutions using cutting-edge technologies. At Next Education India Pvt Ltd, Abhishek is responsible for developing a microservice using the Spring Boot framework that handles licensing and subscription across multiple products. Additionally, he has developed a system that parses Docx files containing tables, images, and other elements using jsoup and saves them in a database. Abhishek has also worked on providing bulk licenses for media content in offline mode. Previously, Abhishek worked at the Indian Institute of Technology, where he trained a Convolution Neural Network (CNN) model to classify different types of traffic signs with an accuracy of 99.2%. He also designed Fast RCNN and Faster RCNN to detect and localize traffic signs with accuracies of 68.5% and 72.7%, respectively. Abhishek has also worked at Gyandata as an Analyst, where he performed a comprehensive analysis on a binary classification problem to determine the optimal machine learning algorithm. He implemented the Random Forest algorithm, reducing the number of variables by 80%, to achieve an accuracy of 94%. Abhishek holds a Bachelor of Technology (B.Tech.) in Biomedical/Medical Engineering from the Indian Institute of Technology, Madras. He is proficient in a variety of technologies, including Spring Boot, Spring, Microservices, CNN, Neural Networks, Random Forest, and ML. With his extensive experience and expertise in software development and machine learning, Abhishek is a valuable asset to any team. He is highly motivated, detail-oriented, and committed to delivering high-quality solutions that meet the needs of his clients.