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Backend Engineer with AI-Driven Microservices Expertise

Location:
Bengaluru, Karnataka, India
Posted:
June 09, 2026

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Resume:

Shivanshu

971******* *******************@*****.*** LinkedIn GitHub Portfolio

Summary

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 ar- chitecture using Redis and Kafka. Hands-on experience building AI-powered developer tools using LLMs, RAG pipelines, and Amazon Bedrock.

Experience

CGI Inc August 2023 – Present

Associate Software Developer (Backend – Java and Spring Boot)

• Developed and optimized backend services for a Telecom Platform supporting 1,200+ concurrent users, improving API response times by 30%.

• Implemented Redis caching with TTL-based invalidation and optimized MySQL queries using indexing and execution plans, reducing database load by 40%.

• Contributed to the development of microservices for order lifecycle, billing, and provisioning workflows using Spring Boot, Hibernate, and Kafka.

• Improved batch processing efficiency by 50% using ExecutorService and concurrent processing techniques.

• Implemented JWT-based authentication with role-based access control using Spring Security across backend services.

• Built an AI-powered code review agent using Amazon Bedrock (Claude/Titan) that analyzes pull requests, detects code smells, and generates fix suggestions – reducing code review turnaround by 60%.

• Designed RAG pipelines using vector embeddings and similarity search to provide contextual issue summaries and recommended fixes from internal documentation.

• Integrated LLM-based static analysis into CI pipelines to detect performance bottlenecks and anti-patterns, cutting production hotfixes by 35%.

• Built automated post-deployment sanity checks with Node.js and Nodemailer, eliminating 90% of manual veri- fication effort per release cycle.

Projects

Building Temperature Management System – Full Stack (Spring Boot + Next.js) GitHub

• 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. Smart AI Email Assistant – Full Stack (Spring Boot + React + Gemini API) GitHub

• 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. Technical Skills

Languages: Java (8, 17), JavaScript (ES6+), SQL, HTML, CSS Frameworks & Libraries: Spring Boot, Spring Security, Spring Data JPA, Hibernate, Microservices, React.js, Next.js, Node.js, JUnit, Mockito

Tools & Platforms: AWS, Docker, Redis, Kafka, MySQL, ElasticSearch, Git, GitHub Actions, Amazon Bedrock, Pentaho ETL, SSRS

AI/ML: Generative AI, LLM APIs, RAG (Retrieval-Augmented Generation), Prompt Engineering, Vector Embeddings Concepts: REST API Design, Microservices Architecture, JWT Authentication, CI/CD, Concurrency & Multithreading, API Security, Agile/Scrum, Design Patterns, Exception Handling, Unit & Integration Testing Achievements

• Received Star Performer recognition for delivering the AI code review agent ahead of schedule, adopted across 3 project teams.

• Played a key role in stabilizing production systems, helping maintain 99.9% uptime.

• Improved API performance by 30% through query optimization and Redis caching strategies.

• Reduced manual operational effort by 90% by automating sanity checks and backend workflows. Education

Bengal College of Engineering and Technology 2019 – 2023 B.Tech in Computer Science Engineering CGPA: 9.01



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