Ajaz Hussain Siddiqui

Machine Learning & AI Engineer with expertise in LangGraph, advanced RAG, FastAPI, and MLOps (MLflow, Optuna, Docker). Delivers production-ready AI systems spanning personalized health intelligence, hallucination-free document Q&A, and multimodal embodied robotics. Proven track record of deploying real-world solutions and Awarded 1st place at University Engineer's Day for pioneering LLM-embedded systems integration ahead of the industry curve.

Github: https://github.com/ajazhussainsiddiqui Portfolio: https://ajazhs.vercel.app

Backend AI Engineering Intern at Flyrankai (2026-07 – Present)

• Architect and optimize FastAPI backends for AI-driven workflows, integrating custom LLM orchestration pipelines to serve scalable API endpoints.
• Implement database schemas, vector retrieval layers, and API routing to support low-latency content generation and data processing tasks.
• Develop an ETL pipeline for structured web crawling and verification, using Crawl4AI, optimizing RAG agents while significantly reducing LLM tokens.

Bachelor of Technology in Artificial Intelligence & Machine Learning – I. K. Gujral Punjab Technical University (Main Campus) (2022-08 – 2026-06) | 8.11 CGPA