
Accomplished Backend Engineer with 5.5 years of experience in designing and building scalable microservices using Java and Spring Boot. Expertise in distributed systems, REST APIs, and performance optimization. Knowledgeable in AI/LLM concepts through hands-on projects. Delivered high-impact enterprise solutions while enhancing system reliability and minimizing downtime.
Backend & Architecture: Java 8, Spring Boot, Spring MVC, Hibernate, JPA, Microservices Architecture, RESTful APIs, Distributed Systems, Event-Driven Architecture
Databases: MySQL, Oracle, PL/SQL
DevOps & Tools: Docker, Jenkins, Git, Maven, CI/CD, Kibana, ArgoCD (Exposure), Quartz Scheduler
Messaging & Integration: REST APIs, API Integration, RabbitMQ (Conceptual)
AI & Modern Tech: LLM Integration, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI API Integration, GitHub Copilot
Practices: Agile/Scrum, Debugging, Performance Optimization, Production Support
· Multiple On-Spot Awards, Infogain & Tata Consultancy Services, Recognized for consistent delivery excellence and high-quality engineering contributions.
· Star of the Month Award, Infogain, Awarded for outstanding performance, ownership, and successful delivery of critical project milestones.
· Client Appreciation Award, Mitchell Client - Infogain, Recognized directly by client stakeholders for impactful contributions and reliable delivery.
· On-Spot Team Awards, TCS (Transamerica Project), Acknowledged for exceptional collaboration and contribution toward project success.
· Built a basic resume scoring prototype using LLM APIs to understand ATS evaluation patterns.
· Applied prompt engineering techniques to generate structured feedback.
· Explored Retrieval-Augmented Generation (RAG) concepts for contextual response generation.
· Implemented a basic prototype integrating retrieval with LLM APIs.