In December 2021, I pursued my career at Mphasis where I worked with Java, including Core Java, SpringBoot, Spring MVC, Spring, Java Microservices, HTML & CSS, Angular, Docker, MySQL and Camunda. In addition to my technical work, I also handled internal tasks related to Mphasis projects, demonstrating strong skills in team, time, and project management. I am eager to further develop my skill set and have the ability to understand problem statements and provide necessary solutions. I am also prepared to learn new technologies as per company requirements. I am dedicated to giving my best effort in working with you.
- We team did a project fo mphasis limited as internal project
-We use Angular an Node js for front end developement to create website in that we use HTML and Css and we use type script fram work in VS code
- For Backend we use SpringBoot , Maven and JDBC and Microservices by using anguar routing we connected frontend with backend
by using MySql dependency to connect MySql data base to store our backend data like credententials in one table and more food data and etc.
- successfully Submitted our project with Good comments for that we recieved Appraisal too
I did project by using Camunda modeler and Spring MVC , and mysql , We used to develop project using Camunda and spring , we designed a project like service1 and service 2 we have make communication between two different bpmn files and using SQL database to store our details successfully.
We did with our faculty in this project we need to do help the people by finding the hospitals nearer to them in case of emergency , in this we learn K map Algorithm and Machine Learning Skills and clustering things
Which was held in our campus . where we use so many ibm softwares like ibm Watson , ibm chatter box, nodered , and 991 message in this we work for earthquake evacquation. To help people by detectearthquake and send messages to the people
our final project for the people to detect Alzheimer disease in early stage by using machine learning techniques like image processing and graph connectivity we got 92 % accuracy which was best in our country now . we use python modules for it. We got best result .