AI Software Engineer Intern @ HelloPixels | B.Tech CSE @ IIIT Vadodara ’27
I build AI-enabled products and backend systems using Python, FastAPI, LangGraph, Docker, and Kubernetes. My current work includes RAG applications, agentic workflows, asynchronous document-ingestion pipelines, and cloud-native AI infrastructure.
I am particularly interested in AI product engineering, backend systems, developer tools, applied machine learning, and distributed systems.
A LangGraph-based system that converts product requirements into structured software-architecture artifacts through requirements, design, critique, and diagram-generation workflows.
Python FastAPI LangGraph LangChain FAISS Pydantic Streamlit
A PyTorch and Flask application that fragments grayscale comic pages into panels, colorizes them using a Pix2Pix-style model, and reconstructs the resulting page.
Python PyTorch Flask Computer Vision Image Processing
A distributed rendering prototype that coordinates Blender workloads across multiple machines through separate client, server, and render-node components.
Python Flask Next.js Blender Distributed Systems
- Languages: Python, C++, JavaScript
- AI/ML: PyTorch, LangChain, LangGraph, RAG, generative AI
- Backend: FastAPI, Flask, Express.js, REST APIs
- Frontend: React, Next.js, Tailwind CSS
- Infrastructure: Docker, Kubernetes, Linux, Git and GitHub
- Remote part-time software/AI engineering internship: Available immediately
- Full-time software/AI engineering internship: January 2027
- Graduate software/AI engineering roles: May 2027
Building reliable AI-enabled software—from retrieval and agent workflows to APIs and deployment.

