Open to opportunities

arush rai

@arushrai

Message

I’m a computer science student building RAG and LLM-powered FastAPI services.

India

Message

What I'm looking for

I’m looking for a team where I can build and deploy production-ready LLM/RAG systems, ship FastAPI-based services, and improve reliability with scalable microservices—while learning from engineers who care about real-world impact.

I’m a B.Tech Computer Science and Engineering student currently building real-world LLM applications through my training as a Trainee – AI/RAG Systems. I developed Doctel, a RAG system indexing 500+ technical PDFs using Parent-Document Retrieval and Hugging Face embeddings in Qdrant, and I engineered a FastAPI microservice handling 10,000+ API calls daily with Docker-based containerization and automatic failover for real-time inference.

I focus on end-to-end deployment and measurable outcomes. In my projects, I fine-tuned MuRIL for Hinglish support-ticket classification to achieve 89% accuracy (0.89 F1), deployed via a FastAPI inference endpoint, and validated gains against TF-IDF baselines and LLM prompting. I also built Xeno, an AI marketing strategist with a 3-service async architecture, constrained tool-calling to verified database actions, and real-time campaign status updates through a React frontend.

Experience

Work history, roles, and key accomplishments

AI/RAG Systems Trainee

Lovely Professional University

Feb 2026 - May 2026 (3 months)

Developed Doctel, a RAG system indexing 500+ technical PDFs using Parent-Document Retrieval and Hugging Face embeddings in Qdrant to enable AI-powered Q&A. Built and deployed a Dockerized FastAPI microservice for real-time inference with automatic failover across model tiers and zero-downtime operation, deployed across Render, Qdrant Cloud, Groq Cloud, and Streamlit Cloud.

RAG Retrieval Augmented Generation Parent Document Retrieval Qdrant fastAPI Microservices Docker GROQ Streamlit Render

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

2023 -

Pursuing a Bachelor of Technology in Computer Science and Engineering at Lovely Professional University (Aug 2023–Present).

Lovely Professional University (Winter Training)

Winter Training (Trainee), AI / RAG Systems

Activities and societies: Developed Doctel, a RAG system indexing 500+ technical PDFs; built a FastAPI microservice for 10,000+ API calls daily; deployed across multiple cloud services.

Completed winter training as a Trainee in AI/RAG Systems using FastAPI, Qdrant, Groq (Llama 3.1), and Docker (Feb 2026–May 2026).