Open to opportunities

Ajaz User

@ajazuser

Message

I build production-ready AI systems with RAG, LangGraph, FastAPI, and MLOps.

India

Message

What I'm looking for

I'm looking to build and deploy real-world AI systems involving LLM orchestration, advanced RAG, FastAPI, MLOps, and multimodal applications, with opportunities to solve practical problems at scale.

I'm building AI-driven backend workflows at Flyrank AI, where I architect FastAPI services, vector retrieval layers, LLM orchestration pipelines, and web-crawling ETL systems that reduce LLM token use.

I built AgenticFit, a personalized health intelligence platform combining multi-agent workflows, wearable-data injury-risk prediction, hybrid RAG, and multimodal nutrition analysis. Its retrieval pipeline achieved 97% context precision, while the LightGBM pipeline trained on more than 100k rows of physiological time-series data.

I've also delivered a hallucination-detecting RAG system that reduced hallucinations by 73%, predictive-maintenance MLOps for aircraft engines, and an award-winning voice-controlled robotic arm. I enjoy turning LLM, machine learning, and multimodal ideas into deployed systems with measurable results.

Experience

Work history, roles, and key accomplishments

Current

Backend AI Engineering Intern

Current

Flyrank AI

Jul 2026 - Present (1 month)

Architected and optimized FastAPI backends for AI-driven workflows, integrating custom LLM orchestration pipelines to serve scalable API endpoints. Implemented database schemas, vector retrieval layers, and API routing to support low-latency content generation and data processing tasks.

fastAPI Orchestration ETL RAG API Development Database Design