Senior Java Engineer with 3+ years in Microservices & AI/ML
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Backend Engineer with 3 years of experience building high-throughput microservices in Java and Spring Boot for telecom domain systems. Proficient in REST API design, caching, performance optimization, and event-driven architecture using Redis and Kafka. Hands-on experience building AI-powered developer tools using LLMS, RAG pipelines, and Amazon Bedrock.
Bengal College of Engineering and Technology
B.Tech · Computer Science Engineering
August 1, 2019 – June 30, 2023
CGI Inc
Associate Software Developer (Backend - Java and Spring Boot)
August 1, 2023 – Present
India
Building Temperature Management System - Full Stack
June 9, 2026 – Present
Designed a full-stack IoT building management system with automated HVAC control logic. Built Spring Boot REST APIs with MySQL, JPA, and Hibernate; implemented real-time monitoring. Developed a responsive Next.js dashboard with live temperature visualization and controls.
View ProjectSmart AI Email Assistant – Full Stack
June 9, 2026 – Present
Built an AI-powered email generator using Gemini API with prompt-based tone customization. Developed secure Spring Boot REST APIs integrated with a React UI for live preview. Implemented auto subject generation and copy-to-clipboard functionality.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong cultural fit through their diverse project experience, including both professional work at CGI Inc and personal full-stack projects. Their involvement in building AI-powered developer tools and automating operational tasks shows initiative and a desire to improve processes, which aligns well with a culture of innovation and efficiency. The breadth of skills across backend, frontend, and AI/ML technologies indicates adaptability and a continuous learning mindset. The focus on performance optimization and system stability (99.9% uptime) suggests a commitment to high-quality engineering.
Soft Skills & Operational Fit
The candidate's resume highlights achievements such as improving API response times, reducing database load, enhancing batch processing efficiency, and significantly cutting down manual verification efforts. These indicate strong problem-solving skills, a results-oriented mindset, and a proactive approach to operational excellence. The 'Star Performer' recognition further supports their ability to deliver impactful solutions and contribute effectively to team goals. Their work on AI-powered tools suggests an innovative and efficiency-driven approach.