Jin Qin

About Jin Qin

10+ Years of Experience in Software Engineering, Machine Learning, Large Language Modeling (LLM)Strong: Python, SQL/NoSQL, AWS (Lambda, S3, EC2), Azure, GCP, Time Series Analysis, Retrieval-Augmented Generation (RAG), Supervised/Unsupervised Learning, Classification, Clustering, Neural Networks, Natural Language Processing (NLP), LangGraph/LangChain, DockerExperienced: PyTorch, TensorFlow, Computer Vision

Experience

1. Senior Software Engineer

   Capital Rx

   Jan 2021 — Present · New York, NY, US

   Designed ML-driven pharmaceutical claim adjudication infrastructure processing millions of claims using Python AWS Lambdas with scalable LLM workflows• Developed predictive analytics and LLM-based algorithms for prior authorization. Analyzing multi-modal documents with vision models to accelerate approval timelines• Built RAG pipeline combining text extraction tools and generate structured LLM outputs with evidence • Architected AI-powered prior authorization system using LLM to automate analysis of claims data and clinical documents• Integrated real-time data pipelines with continuously optimized ML/LLM models, enabling proactive issue detection and dynamic compliance with evolving healthcare regulations

Education

• Georgia Institute of Technology

  Master of Science - MS, Computer Science (Machine Learning)

• Case Western Reserve University

  Doctor of Philosophy (Ph.D.)