
Muhammad Z
Professional AI Engineer
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Expérience professionnelle
AI Engineer
CareCloud • Temps plein
Jan 2023 - Present • 3 yrs 4 mos
- Built and deployed production-grade workflows (OCR → DB → ETL → LLM inference) using FastAPI and PostgreSQL, achieving 92% accuracy in processing complex hand written medical documents. - Designed multi-agent workflows and RAG (Retrieval-Augmented Generation) pipelines using LangChain and LangGraph, automating 80% of CSR operations. - Fine-tuned open-source LLMs (Llama 2 7b) with QLoRA/PEFT, improving entity extraction accuracy by 35% and reducing hallucinations via structured prompting techniques. - Automated critical workflows, saving 200+ operational hours per week, translating AI research into measurable enterprise value.