Mahendra Pratap

About Mahendra Pratap

Java Architect with 15+ years of experience building scalable, cloud-native systems using Java, Spring Boot, and microservices. Over the years, I’ve worked across banking, aviation, and now AI-powered platforms, designing reliable backend systems and leading cloud migrations on Azure and AWS.Lately, I’ve been diving deep into Generative AI, working with LLMs, LangChain, RAG, and prompt engineering to build intelligent apps.I enjoy solving complex problems with clean architecture, mentoring teams, and using AI to drive real-world impact.Let’s connect if you\'re into modern Java, cloud, or AI innovation.

Experience

1. Technical Architect

   Nagarro

   Aug 2016 — Present · Gurgaon, IN

   Cloud-Native Java Solution Architect and Generative AI Specialist with extensive experience designing and delivering enterprise-scale distributed systems and AI-enabled platforms. Proven expertise in architecting scalable, resilient, and secure cloud-native applications aligned with enterprise non-functional requirements including high availability, performance optimization, observability, and compliance.Strong background in designing LLM and Retrieval-Augmented Generation (RAG) architectures, vector search integration, and AI-powered knowledge systems within enterprise environments. Experienced in microservices architecture using Spring Boot, RESTful APIs, event-driven design, Domain-Driven Design and distributed system patterns.Hands-on expertise in containerization and orchestration using Kubernetes, implementing auto-scaling, service mesh, circuit breaker patterns, and fault tolerance strategies. Advanced cloud architecture experience on AWS including multi-account strategy, infrastructure-as-code, CI/CD pipelines, DevSecOps, and cost-optimized deployments.Skilled in defining enterprise reference architectures, API gateways, caching strategies, messaging systems (Kafka/RabbitMQ), distributed tracing, monitoring (Prometheus/Grafana), and Site Reliability Engineering (SRE) practices.Strong technical leadership experience driving architecture governance, cross-functional collaboration, engineering standards, and modernization initiatives. Focused on building intelligent, scalable, and secure backend ecosystems that integrate Generative AI capabilities into mission-critical enterprise platforms.

Education

• Bharati Vidyapeeth

  BE, Computer Engineering

Skills

• Java Enterprise Edition
• Restful Architecture
• Scrum
• Web Services
• Websphere Process Server
• Ant
• Apache Camel
• Spring
• Openshift
• Struts
• Java
• Jsf
• Mysql
• Angularjs
• Solution Architecture
• Servlets
• Oracle
• Requirements Analysis
• Agile Methodologies
• Git
• Apache Spark
• Sql
• Restful Webservices
• Hibernate
• J2ee
• Core Java
• Microservices
• Ejb
• Mongodb
• Spring Framework
• Spring Boot
• Jms