Headline

Full Stack Developer (MERN) · Building AI-integrated web applications with Next.js, Node.js & MongoDB · B.Tech CSE ’27 · Open to internships & software engineering opportunities

About

I build fast, production-ready web applications that actually ship — not just stay as ideas or Figma designs. As a Full Stack Developer, I work across React.js, Node.js, Express.js, MongoDB, and Python to build scalable, user-focused applications with clean architecture and intuitive UI/UX. I enjoy turning complex ideas into products that are both functional and enjoyable to use. Right now, I’m especially interested in the intersection of full-stack engineering and AI-powered applications. I’m actively exploring Generative AI, LLM integrations, AI Agents, and automation workflows — focusing on how AI can become a real part of modern products, not just a feature checkbox. What I bring: • Full-stack development across frontend, backend, APIs, and databases • Strong focus on performance, scalability, and clean code • Product-oriented thinking — understanding both user needs and engineering execution • Fast learning and rapid iteration while maintaining code quality • Genuine curiosity for AI-driven SaaS and modern developer tooling Tech Stack: React.js • Node.js • Express.js • MongoDB • Python • JavaScript • SQL • Tailwind CSS • Git • REST APIs Currently improving: • System Design • Scalable Backend Engineering • AI-Powered SaaS Development • Performance Optimization B.Tech in Computer Science @ SRKR Engineering College (2023–2027) Open to full-stack, AI product, internship, and remote opportunities where I can contribute, learn fast, and build meaningful products. 📩 nareshchandu27@gmail.com

Location

Hyderabad

Work experience

Software Engineering Virtual Experience Program at JPMorgan Chase & Co., May 2026 - Present · 3 mos, Remote, • Integrated Kafka into a Spring Boot microservice to consume and deserialize high-volume transaction messages using a configurable topic and embedded Kafka test framework. • Implemented transaction validation and persistence logic with Spring Data JPA and an H2 SQL database, including entity modeling and balance updates across relational User records. • Connected the service to an external REST Incentive API using RestTemplate, processing incentive responses and incorporating them into transactional workflows. • Developed a REST endpoint for querying user balances, returning JSON responses through a Spring controller while maintaining clean architectural boundaries. • Verified system behavior using Maven test suites and debugger-driven inspection, ensuring reliability across message ingestion, database operations, and external API interactions. Tech Stack: Java, Spring Boot, Kafka, REST APIs, SQL, Maven, Spring Data JPA

Intern at Google Cloud, May 2026 - Present · 3 mos, • Worked with LLMs, embeddings, transformers, multimodal AI systems, and Vertex AI tools. • Built prompt-based workflows using Gemini APIs for image analysis and AI-assisted features. • Learned concepts including RAG pipelines, MLOps basics, responsible AI, and AI application deployment.

Education

Bachelor of Technology, Computer Engineering, SRKR Engineering College

High School Diploma, MPC, Sri Aditya junior college