Headline

Gen AI Engineer at Capgemini

About

I’m a Gen AI Engineer with 4 years of experience building scalable web applications, currently focused on integrating Generative AI into real-world systems. I work across the stack using React.js and Node.js, with hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and semantic search. In my current role, I’ve built and delivered production features that improve performance, reduce manual effort, and enhance user experience. My work includes designing RAG pipelines, implementing AI-driven workflows, and building systems that connect frontend applications with intelligent backend services. I’m particularly interested in solving practical problems using AI—building systems that are not just technically sound but also useful in real-world scenarios. I’m open to opportunities where I can contribute to AI-driven products and continue growing in this space.

Location

Bengaluru

AI stack

claude

codex

github copilot

hugging face

langchain

langgraph

Work experience

Consultant at Capgemini, Sep 2026 - Present · 2 mos, Bengaluru

Senior Software Engineer at LTM, Feb 2026 - Sep 2026 · 8 mos, Bengaluru, In my current role, I’ve been working on building and integrating AI-driven features into production applications. A big part of my work involves using Large Language Models (LLMs) to solve practical problems, such as automating content generation and improving how users interact with data. By implementing these solutions, I’ve helped reduce manual effort and streamline workflows for business users. I’ve also worked on designing Retrieval-Augmented Generation (RAG) pipelines by combining vector databases with APIs, which significantly improved the relevance of search and recommendation systems. Alongside this, I implemented semantic search using embeddings, allowing users to find information more accurately compared to traditional keyword-based approaches. Beyond AI, I’ve been responsible for delivering end-to-end features using React.js and Node.js, ensuring they are performant, scalable, and production-ready. This included improving application performance, building responsive user interfaces, and contributing to team delivery through Agile practices and collaboration. Overall, my role has been about bridging frontend systems with intelligent backend services to build real-world, usable AI solutions.

Software Engineer at LTIMindtree, Sep 2022 - Jan 2026 · 3 yrs 5 mos, Bengaluru, During this phase, I focused on building strong frontend foundations for enterprise applications. I worked extensively with React.js to develop reusable components, which helped improve development speed and maintain consistency across the application. I also contributed to improving code quality by refactoring legacy JavaScript into more structured and maintainable components. This reduced overall complexity and made it easier for teams to scale the codebase. Along with development, I handled production issues and worked on resolving bugs efficiently, which helped reduce resolution time and maintain stability in releases. At the same time, I was actively involved in Agile processes such as sprint planning and tracking, which helped the team maintain predictable and consistent delivery.

Internship Trainee at Mindtree, Feb 2022 - May 2022 · 4 mos, India, During my internship, I gained hands-on experience working on full-stack applications using React.js, Node.js, and MySQL. I worked on building and testing features, which helped me understand how different layers of an application interact in a real-world environment. I also spent time debugging and fixing frontend issues, which improved the overall stability of the application. Working closely with mentors and teammates, I was able to learn industry practices and deliver assigned tasks within timelines in an Agile setup.

Intern at Mindtree, Feb 2022 - May 2022 · 4 mos, • Built a full-stack application using React.js, Node.js, and MySQL for CRUD operations • Improved UI stability by identifying and fixing frontend issues, reducing defects by about 30% • Completed assigned tasks on time while working in an Agile team

Education

Bachelor of Engineering - BE, Electronics and Communications Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kancheepuram