App LogoApp name
MK

Mohammed Junaid Khan

Open to work1 years experience

Software Engineer

BengaluruTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Software Engineer at Capgemini | Java, Spring Boot, React, AI & LLM Specialist

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

32 skills
langchain4jspring airagazure openaiembeddingsvector searchprompt engineeringjavajavascriptsqlspring bootspring mvcrest apisspring cloudeurekafeign clientapi gatewayresilience4jreact 19vitetailwind csshtmlcssmysqlmongodbredisgitmavenpostmanflywaydockerapache kafka

Work Experience

Software Developer

Capgemini India

Feb 2025 - Present
  • Developed and deployed a microservices-based e-commerce application using Java 17, Spring Boot 3, Spring Cloud (Eureka, Feign, API Gateway), and React 19.
  • Built responsive and dynamic UI using React 19 and Tailwind CSS, improving user interaction for product browsing, cart, order workflows, and admin dashboard.
  • Designed and managed relational databases using MySQL with JPA and Hibernate; implemented Flyway migrations, Redis caching, Stripe payments, and Cloudinary image management across microservices.
  • Developed RESTful APIs with JWT-based authentication, role-based authorization, and AI-powered features using LangChain4j, RAG pipelines, and Azure OpenAI.

Projects

SpringSweets E-commerce System

Spring BootSpring CloudReact.jsViteMySQLHibernateSpring SecurityRedis
  • Developed a scalable microservices-based e-commerce application Spring Boot and integrated them via Feign Clients and Eureka forservice discovery. Implemented JWT-based authentication and gateway-level role-based authorization.
  • Designed React-based frontend with Vite, OTP verification, dynamic product/cart display, and admin dashboard.
  • Used JPA and Hibernate for data persistence and managed inter-service communication effectively.
  • Integrated Stripe payment gateway, Cloudinary image management, and Resilience4j circuit breaker.
  • Implemented Redis caching and Flyway database migrations for performance and consistency.

Multi-Agent Career Platform

Java 17Spring Boot 3LangChain4jAzure OpenAISpring Cloud GatewayNetflix EurekaMongoDBSpring SecurityJWTReact
  • Built 4 specialized AI agents: Skill Gap Advisor, Mock Interviewer, Salary Advisor, and Master Agent for LLM-based intent routing
  • Master Agent classifies user intent via LLM and routes to the right agent
  • Persisted interview session state across stateless LLM calls using MongoDB
  • Implemented JWT access and refresh token rotation with role-based security

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Achievements Not Earned

Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.

About Details

Professional Bio

Software Engineer at Capgemini with 1+ year of experience building scalable microservices and AI-powered applications. Skilled in Java, Spring Boot, Spring Cloud, and React, with expertise in LangChain4j, RAG pipelines, and Azure OpenAI. Passionate about distributed systems and clean architecture.

B.Tech in Computer Science

Presidency University, Bangalore ( - 2025)

Languages: English, Hindi
Email: Locked