Created a web application for entry, monitoring and working of Utilities bought and sold by an organization. The application was built using Angular 7 for front end and SpringBoot and MongoDB for backend.

Worked on Machine Learning and Deep Leaning technologies to create a system for
Head and Body Posture Recognition.
• Used Deep learning mechanisms to train models for detecting humans
• Used CNN to detect the movements of humans to detect their postures

Worked on Machine Learning technologies to create a Contextual Chatbot
• Used Natural Language Processing to understand the context of the
conversation
• Used classification algorithms to successfully understand intent of the
sentences

Presented a paper on Piezoelectric Smart Street Lighting system which secured me rank of #2 among 30 teams at 9th Inter University Engineering, Science and Technology Meet 2018 | Forum of Scientists, Engineers and Technologists (FOSET)

Working as a Backend Java Developer with Spring Boot and SQL
• Implementing microservice architecture
• Created RESTful APIs that uses HTTP requests to GET, PUT, POST and
DELETE data
• Worked on MVC framework to perform CRUD operations
• Worked in an Agile environment, delivering quality code in proper time.