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Senior Java Backend developer with 5+ years in Java, Spring Boot & Microservices
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Assessing your cultural and operational fit
Backend Software Engineer with 5+ years of experience building scalable, secure, high-performance systems across banking, fintech, and enterprise platforms. Expertise in Java, Kotlin, Spring Boot, Microservices, REST APIs, Distributed Systems, SQL, AWS, Docker, Terraform, and CI/CD. Experienced in payments, API integrations, concurrency, asynchronous workflows, observability, performance optimization, and production support.
Pune University
B.E. in Computer Science · Computer Science
August 1, 2018 – June 30, 2021
CoVaib
Founder
June 1, 2025 – Present
Pune, Maharashtra, India
TEKsystems (Client: HSBC)
Software Engineer
June 1, 2024 – Present
Pune, Maharashtra, India
Noovosoft Tech LLP
Backend Developer
February 1, 2023 – June 1, 2024
Pune, Maharashtra, India
FIS Global
Software Engineer
August 1, 2021 – January 1, 2023
Pune, Maharashtra, India
Task Management System – Microservices-based platform
June 1, 2026 – Present
Built 8+ secure REST APIs for task creation, assignment, status tracking, and workflow management using Spring Boot, JWT-based RBAC, and JSON-based contracts. Designed a modular backend architecture with support for pagination, filtering, idempotency, optimistic locking, and centralized exception handling, improving maintainability and concurrency safety. Optimized performance through schema design, indexing, query tuning, and Docker-based deployment readiness, supporting smooth handling of 100 concurrent virtual users in API simulation tests.
AI WhatsApp Agent
June 1, 2026 – Present
Developed a real-time AI-powered WhatsApp Agent using Spring Boot, Spring AI, and LLM APIs, enabling automated customer interaction flows across 100+ user conversations. Built a webhook-based, event-driven processing flow with async handling, retry logic, rate limiting, and duplicate-event protection to improve reliability and reduce repetitive support effort by 40%. Implemented prompt orchestration, session-aware response generation, and concurrent request handling, improving lead response efficiency by 30% and enabling scalable AI workflow automation.
OCI 2023 AI Foundations Associate
Oracle
June 1, 2026 – Present
SQL (Basic, Intermediate, Advanced)
HackerRank
June 1, 2026 – Present
REST API
HackerRank
June 1, 2026 – Present
Design Thinking: Implementing the Process
LinkedIn Learning
June 1, 2026 – Present
Learning Spring with Spring Boot
LinkedIn Learning
June 1, 2026 – Present
Spring Framework: In Depth
LinkedIn Learning
June 1, 2026 – Present
Microservices
LinkedIn Learning
June 1, 2026 – Present
Java Programming
Great Learning
June 1, 2026 – Present
Introduction to Data Science in Python
Coursera (University of Michigan)
June 1, 2026 – Present
Introduction to Applied Machine Learning
Coursera (Alberta Machine Intelligence Institute)
June 1, 2026 – Present
Blockchain Platforms
Coursera (University at Buffalo)
June 1, 2026 – Present
Blockchain and Business
Coursera (University of Michigan)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's entrepreneurial venture (CoVaib) and mentoring activities demonstrate initiative, leadership, and a commitment to continuous learning and community contribution. Their diverse project experience, including AI-driven automation and fintech solutions, shows adaptability and a broad interest in emerging technologies. This aligns well with a culture that values innovation, self-starters, and knowledge sharing. The candidate's experience in regulated banking environments also suggests an understanding of structured and compliant development processes.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, technical communication, ownership, and cross-functional collaboration skills through their project descriptions and entrepreneurial venture. Their experience in mentoring and creating technical resources suggests a proactive and collaborative approach, which is beneficial for team dynamics and knowledge sharing. The focus on reducing production issues and improving observability indicates a strong operational mindset.