Highly skilled Software Engineer with 3+ years of hands-on experience in designing, developing, and implementing robust and scalable Java applications.
Overview
4
4
years of professional experience
Work History
Senior Software Developer
LTIMindtree
10.2020 - Current
Working as Senior Software Engineer
Awarded with "Pat on Back" award for outstanding performance
Working in Insurance Domain for major Insurance Broker Client.
Sprint planning and estimation of user stories
Implemented new feature updates to existing software systems to add functionality
Successfully completed major projects like Compliance Management, Data Center Migration, etc.
Migration of code base from Perforce to GitHub of multiple applications executed successfully.
Migration of applications from Web Logic to Tomcat server for enhanced performance.
Worked on fixing security vulnerabilities reported in project by tools such as White Hat & BitSight.
Involved in pre-production & post-production activities and supported production activities.
Provided production support and fixed production issues
Trained new joiners by giving Knowledge Transfer sessions
Implemented code fixes and enhancements for inclusion in future releases and patches.
Education
B.E. Computer Science - Computer Engineering
Vishwakarma Institue of Information Technology (S.P.P.U)
Artificial Neural Network to Prescient the Severity of Parkinson's Disease
https://ieeexplore.ieee.org/document/9121087
In this paper, severity prediction of Parkinson's Disease using various Machine Learning models is done. The performance of these models is compared. The best model to predict the severity is found to be "Artificial Neural Network (ANN)"
A Comprehensive Study of Prediction of Parkinson's Disease Using Machine Learning
Parkinson's disease is a central nervous system disorder, it is caused due to deficiency of dopamine generating cells in our brain. Symptoms of Parkinson's disease include tremor in hand, change in speech and voice, etc. Change in speech is a symptom that can be observed at a initial stage of this disease. This symptom is mainly used in "Machine Learning" approach of detecting this disease. In this paper, we have done survey of all the machine learning algorithms implemented for detection of Parkinson's disease.
Timeline
Senior Software Developer
LTIMindtree
10.2020 - Current
B.E. Computer Science - Computer Engineering
Vishwakarma Institue of Information Technology (S.P.P.U)