Jainil Shah

Software Engineer

Bengaluru, Karnataka, India5 yrs 1 mo experience
AI ML PractitionerHighly Stable

Key Highlights

  • Architected microservices handling 3M+ messages/day
  • Achieved 99.9% uptime in production systems
  • Integrated cutting-edge AI into backend solutions
Stackforce AI infers this person is a Backend Engineer specializing in scalable systems and Generative AI solutions.

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Skills

Core Skills

JavaMicroservicesBackend Development

Other Skills

Generative AISpring BootApache KafkaMQTTKafkaAWSRetrieval-Augmented Generation (RAG)Large Language Models (LLM)MCP serverKubernetesEvent Driven ProgrammingREST APIsReact.jsNoSQLMaven

About

Backend + GenAI Engineer | Building event-driven microservices and AI-powered solutions | Java - Spring Boot - Kafka - AWS - LLM Integration With 4+ years engineering scalable systems, I architect event-driven microservices that handle 3M+ messages/day with 99.9% uptime. Specialized in Java, Spring Boot, and Kafka on AWS—optimizing for high availability, low latency, and cost efficiency. Now bringing GenAI into production: building Model Context Protocol (MCP) servers, implementing RAG pipelines, and integrating LLMs into microservices. Passionate about bridging backend engineering with cutting-edge AI. What I bring: Event-driven microservices (Kafka, MQTT, AMQP) with production-grade reliability Cloud-native architecture on AWS with focus on high availability and low latency GenAI development: prompt engineering, vector databases, local LLM deployment (Ollama) Clean code advocate with deep understanding of distributed systems and SOLID principles​

Experience

5 yrs 1 mo
Total Experience
4 yrs
Average Tenure
1 yr
Current Experience

Walmart global tech india

Software Engineer 3

Jun 2025Present · 1 yr · Bengaluru · On-site

JavaGenerative AI

Hashedin by deloitte

2 roles

Software Engineer 2

Promoted

Apr 2023Jun 2025 · 2 yrs 2 mos · On-site

  • Spearheaded the design of scalable microservices and real-time event-driven systems for global retail and finance clients.
  • Developed an MQTT-based architecture processing 10M+ messages/day, reducing latency by 30%.
  • Ensured 100% test coverage and SonarQube compliance, reducing production defects by 90%.
Spring BootApache KafkaMicroservices

Software Engineer

Apr 2021Mar 2023 · 1 yr 11 mos · On-site

  • Delivered robust backend services using Spring Boot, Kafka, Feign, and AWS cloud services, ensuring 99.9% system uptime.
  • Implemented distributed Saga orchestration for financial transactions worth $500M+ monthly, lowering failure rates by 60%.
JavaSpring BootBackend Development

Education

LDRP Institute of Technology & Research, Gujarat Technological University

Bachelor of Engineering - BE — Computer Engineering

Jan 2016Jan 2020

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