Dinesh Gupta
AI Engineer & Technical Lead @ Nagarro | GenAI & LLM Solutions | Prompt Engineering | Python | Java 17 | Spring Boot | AWS | Cloud-Native Microservices | Docker | Kubernetes | REST APIs | SQL/NoSQL | Angular/Vue.js
- Role
- Staff Engineer at Nagarro
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Dinesh Gupta
Technical Lead with 9+ years of experience building scalable, cloud-native systems using Java 17, Spring Boot, microservices, Angular, and AWS. Strong hands-on expertise in Docker, Kubernetes, REST APIs, and distributed system design.Currently focused on AI-driven engineering, working with Generative AI, LLM-based solutions, prompt engineering, and Python to build intelligent, production-ready applications. Passionate about integrating AI into real-world systems to improve automation, decision-making, and developer productivity.Known for owning complex systems, mentoring teams, and driving continuous improvement with a strong learning mindset.
Experience
Staff Engineer
Dec 2025 — Present · Gurugram, IN
Lead the strategy, evaluation, and integration of AI and Generative AI solutions using core AWS services and modern GenAI technologies to drive business innovation* Architect and evolve cloud-native, enterprise-scale systems using Java 17 and modern design principles* Design and govern microservices architectures using Spring Boot, Spring MVC, and Spring IoC with a focus on scalability and resilience* Drive containerization and orchestration platforms using Docker and Kubernetes for reliable, high-availability deployments* Architect and implement serverless and event-driven solutions on AWS, including AWS Lambda* Design and oversee MFE-based frontend architectures using Angular, Vue 2, and Vue 3* Define and enforce API design standards and develop robust services backed by SQL Server and NoSQL databases* Drive CI/CD pipelines, build, and dependency management standards using Gradle and Maven* Ensure security, performance, observability, and cost optimization across cloud and microservices platforms* Own high-impact architectural decisions and proactively reduce technical debt* Act as a technical escalation point for complex production issues and cross-team technical challenges* Mentor engineers on modern system design, best practices, and emerging technologies
Education
Maharshi Dayanand University Rohtak
Master of Computer Applications (MCA), Computer Programming, Specific Applications
2012 — 2015
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