Results-driven software developer with 2 years of experience in backend development, scalable UI design, and system optimization. Proficient in creating dashboards, APIs and Microservices, consistently exceeding planned deliverables by 20%. Skilled in improving code quality and performance using JMeter analysis and adopting best coding practices.
Overview
2
2
years of professional experience
Work History
Software Developer
Societe Generale Global Solution Center
07.2023 - Current
Designed and implemented dashboards and APIs for Luxembourg back office, improving operational efficiency.
Enhanced system reliability by optimizing code and performing quality analysis using JMeter, leading to a measurable improvement in API performance.
Collaborated closely with operations and upstream teams to refine requirement gathering, streamlining the development of critical financial services.
Worked with modern development practices, leveraging Spring Boot microservices, React, Angular, TypeScript, Jenkins, Kubernetes, Swagger, and OpenAPI.
Managed deployments and CI/CD pipelines ensuring smooth and automated software releases.
Key Projects
1. User Management Microservice
Designed and developed a role-based access management system, simplifying user authentication across multiple microservices.
Implemented secure authentication mechanisms using Spring Boot and JWT, ensuring data protection and authorization consistency.
Built an interactive dashboard with React and Angular for monitoring user privileges efficiently.
2. Credit Card Service
Successfully revamped and delivered an incomplete project, rewriting critical components to ensure full functionality.
Designed backend APIs using Spring Boot, ensuring secure transactions and smooth integration with banking systems.
Performed load testing with JMeter to validate the system’s performance under heavy transactional loads.
Integrated CI/CD pipelines with Jenkins and Kubernetes to automate deployments and improve service uptime.
Intern
Karunadu Technologies Pvt. Limited
09.2022 - 10.2022
Leveraged Open CV to develop
Developed a user interface using PyQt to simplify the data cleaning process.
Developed a heart failure prediction system using machine learning, incorporating a PyQt5 user interface for data input and results visualization. Utilized a dataset with patient health indicators (age, gender, cholesterol, etc.) to predict heart attack risk.
Education
Bachelor of Technology - Computer Science and Engineering