Maria Preethi Rampangu
@mariapreethirampangu
Full-stack developer skilled in Java, Spring Boot, React, and cloud-native web applications.
United StatesWhat I'm looking for
I am a full-stack developer with hands-on experience building responsive web applications using Java, Spring Boot, React, JavaScript, HTML and CSS. I have developed and secured RESTful APIs, implemented JWT/OAuth2 authentication, and reduced latency and deployment cycles through CI/CD automation, Docker, and AWS.
At DR. MCRHRD IT and Bekem Infra I led LMS and backend initiatives, designed real-time dashboards, and improved system performance with automated pipelines and testing (JUnit, Mockito, Cypress). I hold a Master of Engineering in Computer Science and bring a strong foundation in algorithms, distributed systems, machine learning fundamentals, and collaborative Agile delivery.
Experience
Work history, roles, and key accomplishments
Software Engineer I
DR. MCRHRD IT
Jul 2023 - Jul 2024 (1 year)
Led development of a Learning Management System using React and Spring Boot, improving user engagement by 45% and reducing API latency by 30%. Implemented JWT/OAuth2 security, CI/CD with Jenkins to AWS (EC2, S3) using Docker/Kubernetes, shortening release cycles by 40%.
Software Developer Intern
Bekem Infra
Jan 2023 - Jun 2023 (5 months)
Developed backend services and secure REST APIs for a video editing platform, reducing API response times by 25% and boosting processing speed by 35% via an automated rendering pipeline. Integrated React frontend components and maintained CI practices with Git.
Education
Degrees, certifications, and relevant coursework
UCUniversity of Cincinnati
Master of Engineering in Computer Science, Computer Science
2024 - 2026
Grade: 3.9/4.0
Activities and societies: Relevant coursework: Algorithms, Advanced Data Structures, Distributed Operating Systems, Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Computer Vision, Computer Networks, Agile Development
Master of Engineering in Computer Science with coursework in algorithms, machine learning, computer vision, networks, and distributed systems.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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