Aditya Chitransh

I’m an AI & ML Intern (Sept 2025 – Mar 2026) developing LLM-powered automation modules for enterprise workflows, including sales assistance, invoice processing, and tele-order management. I integrate OpenAI-compatible APIs and prompt pipelines to improve operational efficiency.

I also build customer segmentation models using historical order datasets, analyzing thousands of transaction records to group users by purchasing behavior. To make experiments faster, I built FastAPI/REST-based backend services that reduced manual analysis time by 30%, and I containerized ML services with Docker to cut setup time to under 30 minutes.

Alongside this, I’ve worked as a Frontend Web Developer Intern (July 2025 – Aug 2025), where I designed responsive business dashboards with React, HTML, CSS, and JavaScript. I improved page load time by 20%, increased user engagement by 15%, and integrated REST APIs for real-time data visualization while reducing manual reporting time by 30%.

In my projects, I designed a LangGraph-style multi-agent orchestration system (AURA OS) with planner/executor/memory modules, reducing manual workflow steps by 40%. I also built a full-stack AI assistant platform (React + FastAPI + WebSockets) with vector memory (ChromaDB) and tool integrations, delivering sub-second responses across 1000+ stored context nodes.