Full Stack Developer with 2 years of experience in designing, developing, and maintaining applications using Java, Spring Boot, and Angular. Skilled in microservices architecture, REST APIs, and database management. Proficient in agile methodologies and effective in cross-functional team collaboration, with a focus on communication and project coordination.
Overview
7
7
years of professional experience
Work History
Full Stack Developer
Comcast
West Chester, PA
05.2023 - Current
Developed and maintained robust microservices using Java and Spring Boot to create efficient and scalable solutions.
Designed and implemented RESTful APIs for seamless communication between application components and third-party systems.
Built dynamic and responsive front-end user interfaces using Angular and TypeScript, ensuring a high-quality user experience.
Managed and configured Cassandra database to handle high-volume data, ensuring data integrity and fast retrieval.
Implemented real-time data streaming and asynchronous communication between services using Apache Kafka.
Developed and executed comprehensive automation scripts for testing and deployment, improving efficiency and reducing manual effort.
Conducted extensive unit and integration testing using JUnit to ensure code quality and reliability.
Utilized Git and GitHub for version control, managing code repositories and collaborating with team members.
Gained hands-on experience with Spark and Scala for big data processing and analysis.
Actively participated in Agile scrum meetings and sprint planning, contributing to project timelines and overall team success.
Created and maintained detailed project documentation using tools like Excel and PowerPoint for clear team and stakeholder communication.
Coordinated with cross-functional teams, including product management and QA, to align on project goals and deliverables.
Machine Learning Intern
Cloud Technologies
Hyderabad, India, Telangana
05.2018 - 08.2018
Prototyped and assessed the feasibility of machine learning applications using Python.
Developed application code in Python to store images and driver information in an SQL database.
Optimized machine vision-based eye closure monitors, achieving a 70% improvement.
Conducted on-road evaluations of the Driver Drowsiness Monitoring System using ML Techniques, Image Processing, and SVM, which resulted in a 92% accuracy enhancement while minimizing manpower.
Collaborated with project managers and team members to ensure alignment on project goals, which provided valuable experience in team coordination and resource management.
Education
Master of Science - Information Technology Project Management