Summary
Overview
Work History
Education
Skills
PROJECTS
Timeline
Generic
Aravind Rangamreddy

Aravind Rangamreddy

Scarborough

Summary

Highly motivated Java Developer with 3 years of experience seeking a challenging role where I can leverage my strong technical skills and expertise to contribute to the development of cutting-edge applications. Committed to delivering robust and scalable solutions using Java, Spring Boot, Kafka, and Micro Services architecture. Dedicated to staying updated with the latest advancements in Java technologies and frameworks. Seeking opportunities to work in a collaborative environment that fosters innovation and professional growth, while utilizing my problem-solving abilities and passion for creating high-quality software.

Overview

3
3
years of professional experience

Work History

Java Developer

TCS
01.2023 - Current
  • Develop high-performing data streams and APIs using Java, Spring boot, and microservices architecture.
  • Utilize Agile practices for iterative and efficient product delivery.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Design, develop, and deploy RESTful APIs adhering to industry best practices and standards.
  • Conduct comprehensive unit testing using a test-driven development (TDD) approach with JUnit and Mockito.
  • Employ continuous integration and deployment methods using Jenkins for automated code deployment.
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, and sprint reviews.
  • Collaborate with stakeholders to understand their needs and provide technical recommendations aligned with business objectives.
  • Demonstrate proficiency in development tools and environments like Maven, Git, and IDEs (IntelliJ, Eclipse).
  • Conduct code reviews to ensure adherence to coding standards, maintainability, and performance optimization.

Java Developer

Capgemini
Bengaluru
07.2019 - 07.2021

Client - Becton, Dickinson

  • Rich experience in Application Management Services with a specialized focus on Master Data Management (MDM), Data Quality, Data Governance, and Data Warehousing.
  • Successfully delivered support and handled minor and major enhancements for Reltio MDM and Java applications, ensuring their smooth operation and continuous improvement.
  • Played a key role in improving data quality by developing a Java application that identified and eliminated blank attributes in the production data, leading to more accurate and reliable data.
  • Implemented MDM solutions using Reltio MDM, ensuring effective data management and governance, and facilitating a single source of truth for master data across the organization.
  • Developed and maintained data integration workflows, including data mappings, transformations, and data synchronization processes, to ensure seamless data flow between different systems.
  • Participated in data migration projects, ensuring the accurate and secure transfer of master data from legacy systems to the MDM platform.
  • Actively participated in code reviews, ensuring adherence to coding standards, performance optimization, and overall code quality.
  • Demonstrated strong problem-solving skills, troubleshooting MDM and Java applications, identifying, and resolving issues to ensure uninterrupted business operations.
  • Proactively identified opportunities for process improvement and automation, leveraging Java development skills to streamline workflows and enhance efficiency.
  • Recognized for outstanding performance and promoted to senior consultant within the first six months of joining the company.

Education

Ontario Graduate Certificate - Artificial Intelligence And Data Science

Loyalist College
Toronto
12-2022

Bachelor of Technology - Computer Science And Engineering

National Institute of Technology
Silchar
04-2019

Skills

  • Java
  • Spring
  • Spring Boot
  • Microservices
  • MySQL
  • Kafka
  • Jenkins
  • JIRA
  • JUnit
  • MDM
  • Agile Methodologies
  • Amazon Web Services
  • Apache Maven
  • Docker
  • Eclipse
  • Git
  • IntelliJ

PROJECTS

Movie Recommendation System 

  • Developed a Movie Recommendation System using a gradient boosting algorithm and matrix factorization methods.
  • Implemented supervised learning techniques to train a machine learning model and create a personalized movie recommendation system.
  • Utilized previous user ratings to provide tailored movie suggestions to increase returning customers.
  • Implemented and fine-tuned the gradient boosting algorithm to improve the accuracy and relevance of the movie recommendations.
  • Utilized matrix factorization methods to extract latent features and improve the recommendation quality.
  • Worked collaboratively with a team to gather requirements, design the system, and implement the solution.
  • Conducted thorough testing and evaluation to ensure the effectiveness of the recommendation system.
  • Demonstrated strong problem-solving skills and a deep understanding of supervised learning techniques in the context of recommendation systems.

Timeline

Java Developer

TCS
01.2023 - Current

Java Developer

Capgemini
07.2019 - 07.2021

Ontario Graduate Certificate - Artificial Intelligence And Data Science

Loyalist College

Bachelor of Technology - Computer Science And Engineering

National Institute of Technology
Aravind Rangamreddy