• Designed and developed scalable backend system for Canadian Securities Institute (CSI), generating an annual revenue of $25 Million with a monthly engagement rate of 227K users from 10+ countries.• Developed and optimized code changes in J2EE enterprise application running Struts2, JSP, Servlet, JDBC delivering great user experience.• Planned and designed the conversion of legacy monolithic Java application to a microservices architecture using Java 8+.• Designed and built RESTful microservices using Spring Framework, Spring Boot, Spring MVC, Hibernate ORM and Spring JPA .• Implemented user authentication and authorization using Spring Security, OAuth 2.0 Standard Flow and Client Credential Flow in our application to communicate securely with protected resources using JWT.• Collaborated with multiple financial vendors, banks and third party API's to deliver high performance financial transactions securely.• Experience in GCP environment particularly in Google Pub/Sub, Google Big Query and analyzing Client Orders using Google Looker Studio.• Developed complex customizable reports using BIRT reporting tool, enabling client to view consolidated data in one integrated report.• Designed and developed application to generate and send bulk emails dynamically to users using JavaMail API and SMTP protocol.• Established and developed an extensive test coverage for all new and existing features using test-driven development, Junit, Mockito.

• Requirement gathering and analysis based on dynamic client requirements and creating user stories and tasks that meet allrequirements of quality, non-functional requirements.• Implemented RESTful microservices following Spring Framework, Spring Boot and Spring MVC to develop Knowledge Portalthat improved user experience and reduce search time by 50%.• Design, implemented, and integrated backend microservices architecture for creating scalable and reliable business models like email management, platform management, guided-help and dashboard reports.• Handled production support escalation and performed test-driven development of automated unit testing and integration testing for microservices using JUnit, Mockito and Testcontainers.• Experience in using build/deploy tools such as Jenkins and Jira for feature/epic/user-story and bug-fix tracking.• Utilized Docker and Kubernetes for the runtime environment for the CI/CD system to Build, Test and Deploy.• Experience in SCM like Git, Perforce.

1) I joined Amdocs as a Software Engineering Associate to help the Global Delivery team build an Intelligent Billing Services.2) Worked in A1 Austria as the sole person from the DVCI team for coding and providing helpful technical comments in relaunching their new business model called "Bimonthly Billing." I have implemented a new service that includes processing personalized discounts, refunds, and payments for A1 "Premium Club Members."3) In November, 2021 UK government passed a law that a consumer must get a full refund for cancellation of the insurance within 14 days of purchasing Price Plan. During my tenure at 3 Ireland, I worked single-handedly on this project to modify billing system and present case studies to grant refunds on Insurance. I have also worked on Project Easter - APA Phase 2 which includes billing customers on existing plans with an annual increase rate of 4.5% .4) Member of Team "Voice of Amdocs" : Selected from nearly 2000+ employees in the "Voice of Amdocs" leadership team for strategically planning the programs that harness the power of the Gen-Z mind to drive existing and new business initiatives. 5) ICE Competition Winner : Secured 2 nd place amongst 310 graduates in the Project ICE (Innovation and Carnival Environment) competition where new graduates showcase their final year projects as a business model.

- Responsible for developing various Machine Learning models which includes regression, classification,clustering, dimensionality reduction and ensemble methods like bagging and boosting. - Performed Data Analysis and Data Visualization using various packages like pandas, numpy, Scipy matplotlib, plotly and seaborn. - Developed Deep Learning models using Tensorflow and Keras.