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Software Development Engineer with 2+ years in Java Backend & Cloud
Computer Science and Data Science graduate with 2+ years of hands-on experience building scalable backend services using Java, Spring Boot, and RESTful APIs. Proficient in microservices architecture, relational databases (MySQL, PostgreSQL), and CI/CD pipelines with Docker and GitHub Actions. Adept at writing clean, testable code with 85-90% unit test coverage using JUnit and Mockito; seeking an SDE1 opportunity to contribute to high-performance backend systems in the banking and fintech domain.
Kasireddy Narayan Reddy College of Engineering & Research (JNTUH)
B. Tech · Computer Science & Data Science
August 1, 2021 – June 30, 2025
Kasireddy Narayan Reddy College of Engineering & Research
Academic Software Development Engineer
January 1, 2023 – January 1, 2025
Hyderābād, Telangana, India
Fast Lane Detection System Using Deep Learning
January 1, 2025 – January 1, 2025
Developed and deployed a real-time deep learning pipeline achieving 92% detection accuracy through iterative model evaluation using precision and recall metrics. Optimized inference latency by 35% via algorithm complexity analysis and Big-O reasoning to identify performance bottlenecks. Implemented automated unit and integration tests using pytest with 85% code coverage, then containerized deployment with Docker and established a CI/CD pipeline via GitHub Actions.
Multi-Model AI Rumor Detection - RESTful API Backend
January 1, 2025 – January 1, 2025
Architected a scalable hybrid ML pipeline processing 10,000+ social media records; improved prediction accuracy by 15% through systematic hyperparameter tuning. Built RESTful API endpoints using Flask to serve model predictions with sub-second response times, implementing robust error handling and input validation.
View ProjectRESTful API Development for Data Analytics Platform
January 1, 2024 – January 1, 2024
Designed and implemented scalable RESTful APIs using Spring Boot to handle 1,000+ concurrent requests with optimized database queries and connection pooling. Built microservices architecture applying service layer and repository patterns, enabling maintainable, loosely coupled code with clear separation of concerns. Integrated MySQL with JPA/Hibernate ORM; implemented database indexing and query optimization, reducing response time by 40%. Achieved 90% unit test coverage with JUnit and Mockito; conducted comprehensive API validation using Postman.
AI Transformative Learning Program
Edunet Foundation & AICTE
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse skill set across Java/Spring Boot and Python/ML, indicating adaptability and a willingness to explore different technical domains. The focus on scalable backend services, microservices, and CI/CD aligns well with modern software development practices. The target role of Software Development Engineer is well-matched with the candidate's experience in backend architecture, API design, and database optimization. The mention of contributing to high-performance backend systems in banking and fintech further refines the cultural fit for performance-critical environments.
Soft Skills & Operational Fit
The candidate's experience in team-based environments, participation in code reviews, and adherence to Agile methodologies suggest a good operational fit. The project descriptions indicate an ability to analyze and solve performance bottlenecks, which is crucial for a senior role. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.