Intellij
Experienced Software Development Engineer with 5 years in backend Java development, specializing in building and maintaining scalable applications using Core Java, Spring, and cloud technologies like AWS. Skilled in requirement gathering, coding, debugging, and deployment across healthcare and financial domains. Proficient in working with databases such as MongoDB and Oracle at a medium level, and experienced in REST and SOAP web services. Strong team player committed to delivering high-quality software solutions.
Project description - Understanding the Legacy application and did Reverse Engineer using Gemini AI.
AI-Based Documentation: Automated legacy system documentation using Gemini AI.
Data Lineage Mapping: Documented upstream/downstream flows and transformations.
Prompt Engineering: Created reusable AI prompts for scheduler job-level analysis, Sequence diagrams.
PlantUML: To generate UML Diagrams of a job End-to-End flow.
Client delivery: Submitted documentation package.
Project name - GMS (Global Monitoring System)
Project description - Application monitors the
companies health score that are registered with D&B to evaluate
their certain financial decisions and do risk analysis. D&B partners collects the information and push into GMS in XML, JSON and fixed length text file formats. GMS the process that information and determines if any failure, delinquency or legal event changes for any company and notify the users if they are subscribed in UI to see the updates.
Planned and defined the project to ensure smooth execution.
Improved the Scorecard project by adding features and making it better.
Developed and deployed code for the project.
Fixed security vulnerability issues, like Cross-Site Scripting (XSS), upgrade Apache and Samba packages for better security & configure SSL certificates for secure communication.
Project description - Built an Parser builder application with innovative idea of building user customized parsers with customized rules and allows to test the accuracy with user choice of data. This created a big impact in information extraction process where SMEs(Medical Experts) build their own parsers to get the required data.
Built and deployed client data interfaces to manage the data flow via SFTP.
I took ownership as a Team organizer, managing team coordination and task distribution.
Supported the team in resolving client issue tickets efficiently.
Debugged and fixed issues within a short timeframe to ensure optimal application performance.
Provided application walkthroughs and product training to junior developers.
Collaborated with team members to achieve target results and project milestones.
I took on additional responsibilities to contribute to the team's success.
Implemented automated reports to enhance accuracy, improve product efficiency, and minimize resource wastage.
Java 8 Learning Certification - LinkedIn
Apache Kafka Learning Certification – Scalar and Udemy
AWS Learning Certification - Trainocate
Generative AI Fundamentals Certification - Databricks
Intellij
Eclipse
Postman
VSCode
Gemini AI Code Assist
PlantUML
Regex101