About

Manshavi Kumar is a skilled software engineering professional with 5 years of experience in designing, implementing, and installing software solutions. She is also a data science enthusiast, having completed a Post Graduate Diploma in Machine Learning and Artificial Intelligence from IIIT Bangalore. Her expertise lies in creating machine learning models, using predictive data modeling techniques. Manshavi has built multiple models of linear and logistic regression by understanding, exploring, and manipulating data to make it suitable for the respective machine learning algorithms. She has also developed deep learning models using convolution neural network (CNN) to develop image classification models with the help of Keras and Tensorflow framework. With experience in developing and maintaining RESTful web services, Manshavi has managed a team responsible for integration of APIs with another company and integrated a payment gateway for online payment in their application. She has hands-on experience in working and maintaining NoSql databases such as MongoDB and Redis. She also possesses knowledge of VCS and has used Git along with hands-on experience in JIRA. She understands the SDLC process and has experience in working in Agile methodology and database design/development. Currently working as a Java Software Engineer at ITC, Manshavi provides on-site consulting services to Verifone, an American multinational corporation. She works directly on the requests come from their customers, analyzes them, and makes the desired changes once it gets approved by the team architect and the team lead. She is also responsible for providing the right guidance to resolve the issues faced by the customers’ development team while integrating their devices with their system. She is working on the mobile payment and loyalty-related bugs or enhancements. Previously, Manshavi worked as a Java Developer at Healthsignz, a product-based company that has developed multiple mobile and web applications to give end-to-end solutions from health centers to patients. She developed an ML project to detect brain tumor in MRI scan images and implemented and provided RESTful web services as per the design and requirement to interact with mobile and web clients. She also worked on designing a booking cart for doctors, diagnostic, and wellness appointments along with diet and pharmacy products from the mobile or web application. She performed CRUD operations in NoSql databases such as MongoDB and Redis and managed a team to integrate their system with another healthcare company. She also integrated a payment gateway in their application. Manshavi's tech stack includes Software Engineering, Java, Data Science, ML, Web, Mobile, Redis, MongoDB, AWS, CNN, K