Hao Zhan
Senior Data Scientist | AI Engineer bridging Research & Production
- Role
- Senior Data Scientist at CCC Intelligent Solutions
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Hao Zhan
Experienced Machine Learning Engineer/ Data Scientist with 7+ years of experience building end-to-endGenerative AI and Computer Vision systems. Expert in engineering Agentic Workflows (LangChain, AWSBedrock), leading cross-functional initiatives, and collaborating with teams to drive MLOps best practicesacross AWS SageMaker and Docker/Kubernetes. Proven leader in bridging cutting-edge academic papers toindustry use cases, including Transformer-based models, internal Vision Foundation Model and 3D Spatial AI.And initated high-performance deployment (CoreML, TensorRT, Deepstream).
Experience
Senior Data Scientist
Aug 2022 — Present · Chicago, IL, US
Mobile Optimization Strategy: Spearheaded the compilation of vision models using Torch 2.0 and JIT compilation, achieving significant latency reductions on Inferentia and mobile CPUs to ensure instant user feedback for real-time applications.• iOS Integration & CoreML: Took full ownership of the mobile integration pipeline by converting models to CoreML, authoring comprehensive encryption documentation, and providing Swift code implementation to the mobile engineering team for seamless client-side consumption.• Client-Side Deep Learning Product: Successfully demonstrated a real-time cost prediction model running directly on smartphones, showcasing potential server cost reductions and enhanced mobile capabilities.• Vision Foundation Models: Architected and pretrained VFM backbones using Python and PyTorch, optimizing \"lite\" variants for multipurpose real-time edge performance across the organization.• Agentic System Engineering: Designed autonomous AI agents using LangChain and AWS Bedrock, implementing custom tool-calling logic and multi-step reasoning to automate complex claim workflows.• 3D Spatial AI Leadership: Spearheaded the transition from 2D imaging to 3D reconstruction by leading a team to implement NeRF and 3D Gaussian Splatting for digital twin damage capture.• Pipeline Automation: Operationalized major release pipelines by building resilient Airflow workflows, moving projects from partial completion to full launch while standardizing preprocessing protocols to scale team velocity.• Model Governance: Implemented AI Factory initiatives, creating central repositories and model cards while establishing production monitoring using Arize to ensure system reliability and performance tracking.• Rapid R&D Translation: Led team efforts to incorporate recent research papers into production model architectures in just 2–3 weeks, effectively bridging the gap between academic research and industrial application.
Education
Illinois Institute of Technology
Master of Science - MS, Data Science
2017 — 2019
Harrisburg University of Science and Technology
Master of Science - MS, Analytics
2022 — 2024
Hubei University
Bachelor of Science - BS, Mathematics and Applied Mathematics
2011 — 2015
Harrisburg University of Science and Technology
Doctor of Philosophy - PhD, Data Science
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