Senior Java Developer with 3+ years in Spring Boot & Microservices
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Java Backend Developer with 3+ years of experience building scalable Spring Boot services, delivering 15+ production APIs and improving response times by up to 50%. Proven impact in optimizing data-intensive workflows (70% faster bulk processing) and streamlining CI/CD pipelines for faster, reliable releases. Strong in system design, database optimization, and microservices focused on building high-performance, production-ready backend systems.
Rajarambapu Insitute Of Technology
B.Tech · Computer Engineering
January 1, 2021 – July 1, 2023
American Bureau of Shipping
Product Developer 1
July 1, 2023 – Present
Pune, Maharashtra, India
American Bureau of Shipping
Product Developer Intern
January 1, 2023 – June 1, 2023
Pune, Maharashtra, India
PlanPeak
June 14, 2026 – Present
• Developed a full-stack task management platform supporting multi-user workflows with secure authentication (JWT) and role-based access control (RBAC) • Optimized database queries with indexing and pagination, reducing response time by 60% under load
Certificate of Appreciation in American Bureau of Shipping
American Bureau of Shipping
January 1, 2025 – Present
Microsoft Azure Fundamentals AZ-900 Certified
Microsoft
January 1, 2025 – Present
LeetCode 365 Days Streak Badge
LeetCode
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience in a product development role at American Bureau of Shipping, coupled with a personal project (PlanPeak), shows initiative and a drive for practical application of skills. Their involvement in code reviews and Agile environments suggests a collaborative mindset. The LeetCode streak and Azure certification indicate a commitment to continuous learning and self-improvement, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through participation in code reviews and cross-functional team engagement. Their experience with Agile methodologies suggests an operational fit for iterative development environments. The use of Gen-AI tools indicates an openness to leveraging new technologies for efficiency.