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Senior Java Engineer with 6+ years in Full Stack, Microservices, Distributed Systems, and AI-Powered
Senior Software Engineer with 5+ years of experience in designing and developing scalable Full Stack applications, Microservices, Distributed Systems, and AI-powered enterprise solutions. Proficient in Java 17, Spring Boot, Spring Framework, REST APIs, Webhooks, OOP, Multithreading, Apache Kafka, RabbitMQ, PostgreSQL, MongoDB, and Event-Driven Architecture. Experienced in frontend development using React.js, JavaScript, HTML5, CSS3, and responsive UI integration. Strong expertise in Generative AI, OpenAI GPT, Claude, Agentic AI, LangChain, LangGraph, Prompt Engineering, RAG, Vector Search, Embeddings, and LLM Integration. Skilled in JWT, OAuth2, OIDC, RS256 Token Signing, AWS, Docker, Kubernetes, Git, GitLab CI/CD, Maven, JUnit, Mockito, System Design, Performance Optimization, Production Support, Monitoring, Debugging, Code Reviews, and delivering secure, scalable, cloud-native solutions in Agile environments.
Dr. A.P.J Abdul Kalam Technical University
B-TECH
August 1, 2016 – June 30, 2020
DEUTSCHE TELEKOM DIGITAL LABS
SDE I
June 1, 2024 – Present
India
SIMFORM
SOFTWARE ENGINEER
July 1, 2023 – March 1, 2024
India
SILVER TOUCH TECHNOLOGY
JAVA DEVELOPER
May 1, 2022 – June 1, 2023
India
KAISER COMPUTER PVT. LTD
SOFTWARE ENGINEER
March 1, 2020 – April 1, 2022
India
AI-Powered iPaaS Integration Platform
June 15, 2026 – Present
The AI-Powered iPaaS Integration Platform is an enterprise-grade workflow automation solution built on UnifyApps that integrates APIs, webhooks, databases, and external services to automate complex business processes. I was responsible for developing scalable backend microservices using Java 17 and Spring Boot, designing REST APIs, and orchestrating AI-driven workflows. The platform leveraged OpenAI GPT, Claude, Agentic AI, LangChain, LangGraph, Prompt Engineering, RAG, Vector Search, and Embeddings to analyze requests, retrieve enterprise knowledge, automate decision-making, and execute multi-step business workflows. I implemented JWT validation, OAuth2/OIDC authentication, RS256 token signing, API orchestration, and webhook-based integrations. Additionally, I worked on MongoDB and PostgreSQL data management, CI/CD pipelines, Docker, Kubernetes deployments, production support, monitoring, debugging, testing, and performance optimization in a distributed microservices environment.
High-Scale Auction Platform
June 15, 2026 – Present
The High-Scale Auction Platform was a distributed event-driven system designed to support real-time auctions, bid management, user participation, and auction lifecycle processing while handling over one million events per day. I developed scalable backend microservices using Java and Spring Boot, designed REST APIs, and implemented high-performance bid processing services. To enable reliable asynchronous communication, I built Apache Kafka and RabbitMQ-based messaging solutions ensuring event ordering and fault-tolerant processing across distributed services. I developed multithreaded components to support thousands of concurrent users while maintaining low-latency responses. Additionally, I optimized PostgreSQL databases through indexing, query tuning, and performance enhancements. My responsibilities included system design, code reviews, unit testing, deployment support, production issue resolution, monitoring, debugging, and performance optimization in a highly available cloud-based environment.
Cultural Fit Analysis
The candidate's project experience demonstrates a strong alignment with modern enterprise software development, particularly in high-scale, distributed, and AI-driven environments. The diversity of projects, from an AI-Powered iPaaS to a High-Scale Auction Platform, showcases adaptability and a broad skill set relevant to innovative tech companies. The explicit mention of Agile Scrum methodology and cross-functional team collaboration further supports a good cultural fit for dynamic, team-oriented environments.
Soft Skills & Operational Fit
The candidate's project descriptions highlight contributions to system design, code reviews, unit testing, deployment support, production issue resolution, monitoring, debugging, and performance optimization. This indicates a strong operational fit and a proactive approach to the full software development lifecycle. Collaboration in cross-functional teams and Agile delivery are also mentioned, suggesting good team integration and adaptability.