I’ve successfully wrapped up my time as a Software Developer Intern at AHEADD, where my primary focus was engineering production-grade Generative AI systems and optimizing backend architecture.
Rather than just implementing APIs, I focused on solving the core challenges of context and accuracy in LLM applications.

Key Technical Deliverables:

RAG Architecture: Engineered a high-fidelity Retrieval-Augmented Generation (RAG) pipeline using LangChain and Google’s Gen AI models.
Edge AI & Privacy: Led the R&D on local, on-device LLM execution, benchmarking feasibility to enable privacy-preserving inference and reduce cloud latency.
Infrastructure: Modernized the deployment workflow by containerizing the FastAPI backend with Docker, ensuring reproducible environments and scalability.

A massive thank you to Ashish Srivastava for his mentorship. From guiding me through the complexities of RAG architectures to encouraging my research into local execution, your expertise was invaluable in helping me navigate this rapidly evolving field.
I’m leaving with a solid foundation in building AI-native applications and a passion for what’s next in this space.

It has been sometime since I finished my very intense and highly enriching 6-week internship at AHEADD . I just thought of sharing my experience with you all.

During the internship I worked on Full Stack Development and Generative AI, where I was involved in building a fully production-ready application from scratch. The work spanned system design, backend API development, database design, frontend Integration, and AI-driven workflows, with React used for the desktop frontend.

There was strong emphasis on real-world, deployable systems. The focus was never on prototypes or demo code, but on building software the way it’s done in actual production environments. Getting hands-on exposure to how GenAI is implemented in real applications was both challenging and extremely valuable.

I feel much more confident and now have practical insights that go well beyond academic learning. Excited to take these learnings forward and keep building better systems!

Sincere thanks to Ashish Srivastava Sir for the mentorship and to help me build with quality.

Recently completed an incredibly intense and rewarding Winter Internship with AHEADD.

During my internship in Full Stack Development & Generative AI, I had the opportunity to build a production-ready application end-to-end — covering system design, RESTful APIs, frontend integration, and AI workflows.

We worked with the LangGraph framework for building AI agents and React Native and Expo for the mobile application development, along with FastAPI for backend while following best practices.

What stood out the most was the focus on real-world engineering and production-ready systems, rather than just demo-level implementations. The exposure to how Generative AI is actually applied in real products was a huge learning experience for me.
This internship has genuinely boosted my confidence as a developer and gave me hands-on experience that goes far beyond classroom learning. Looking forward to building more and applying these learnings ahead!

A big thank you to Ashish Srivastava for the mentorship, guidance, and constant push towards quality and clarity of thinking.