Ashutosh Mittal

Software Engineer

Gurugram, Haryana, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Java backend development and Generative AI.
Proven experience in building scalable, event-driven systems.
Hands-on with advanced AI frameworks like LangChain and LangGraph.

Stackforce AI infers this person is a Backend Software Engineer specializing in Generative AI and scalable systems.

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Skills

Core Skills

JavaGenerative Ai

Other Skills

Python (Programming Language)Spring BootApache KafkaSQLLangChainLangGraphMicroservicesDistributed SystemsVector DatabasesSpring WebfluxSpring DataDesign PatternsRabbitMQMockitoJUnit

About

I am a Software Engineer with a strong focus in Java backend development and Generative AI, experienced in building scalable, distributed, and event-driven systems. My backend expertise includes Java , Spring Boot, microservices architecture, RESTful APIs, Apache Kafka, and working with relational and NoSQL databases . Alongside backend engineering, I have hands-on experience in Generative AI development using Python, building Agentic AI systems and RAG-based conversational solutions with LangChain, LangGraph, and custom MCP servers to enable secure LLM integration with backend services. I specialize in combining robust backend systems with AI-driven workflows to deliver practical, production-ready solutions. I am actively seeking Software Development Engineer (Backend – Java/Spring Boot) or AI Engineer (Generative AI) roles, where I can contribute to building high-performance backend platforms and intelligent applications.

Experience

1 yr 6 mos

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Capgemini

Software Engineer

Oct 2024 – Apr 2026 · 1 yr 6 mos · Gurugram · Hybrid

. Designed and implemented Agentic AI Solutions using Python, LangChain, and LangGraph, including RAG-based chatbots with conversational memory for context-aware.
. Developed custom MCP (Model Context Protocol) servers to enable secure LLM tool-calling.
. Designed and developed RESTful microservices using Java and Spring Boot in a distributed, event-driven architecture.
. Designed and managed relational database schemas, implementing transactional persistence using Spring Data JPA.
. Integrated Apache Kafka for asynchronous messaging and event-driven communication between services.
. Implemented service discovery using Eureka Server for dynamic microservice registration and load-balanced communication.
. Applied Saga-based distributed transaction patterns to maintain data consistency across multiple microservices.

Python (Programming Language)JavaSpring BootApache KafkaSQLGenerative AI