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I am an interdisciplinary scientist and engineer specializing in machine learning, artificial intelligence, data science, and big data strategy. Over my career, I have led numerous collaborative research projects, accumulating over 1100 citations and delivering impactful solutions across different industries. I have strong experience in developing machine learning models, MLOps pipelines, and scalable data workflows. My work spans healthcare, retail, agriculture, and transportation sectors, utilizing cutting-edge tools and frameworks including TensorFlow, PyTorch, Kubernetes, AWS, and GCP. I enjoy solving challenging problems and building practical AI applications that drive business and research value.…I am an interdisciplinary scientist and engineer specializing in machine learning, artificial intelligence, data science, and big data strategy. Over my career, I have led numerous collaborative research projects, accumulating over 1100 citations and delivering impactful solutions across different industries. I have strong experience in developing machine learning models, MLOps pipelines, and scalable data workflows. My work spans healthcare, retail, agriculture, and transportation sectors, utilizing cutting-edge tools and frameworks including TensorFlow, PyTorch, Kubernetes, AWS, and GCP. I enjoy solving challenging problems and building practical AI applications that drive business and research value.

Jeffery (Junyan) Wu

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I am an interdisciplinary scientist and engineer specializing in machine learning, artificial intelligence, data science, and big data strategy. Over my career, I have led numerous collaborative research projects, accumulating over 1100 citations and delivering impactful solutions across different industries. I have strong experience in developing machine learning models, MLOps pipelines, and scalable data workflows. My work spans healthcare, retail, agriculture, and transportation sectors, utilizing cutting-edge tools and frameworks including TensorFlow, PyTorch, Kubernetes, AWS, and GCP. I enjoy solving challenging problems and building practical AI applications that drive business and research value.…I am an interdisciplinary scientist and engineer specializing in machine learning, artificial intelligence, data science, and big data strategy. Over my career, I have led numerous collaborative research projects, accumulating over 1100 citations and delivering impactful solutions across different industries. I have strong experience in developing machine learning models, MLOps pipelines, and scalable data workflows. My work spans healthcare, retail, agriculture, and transportation sectors, utilizing cutting-edge tools and frameworks including TensorFlow, PyTorch, Kubernetes, AWS, and GCP. I enjoy solving challenging problems and building practical AI applications that drive business and research value.

Available to hire

I am an interdisciplinary scientist and engineer specializing in machine learning, artificial intelligence, data science, and big data strategy. Over my career, I have led numerous collaborative research projects, accumulating over 1100 citations and delivering impactful solutions across different industries.

I have strong experience in developing machine learning models, MLOps pipelines, and scalable data workflows. My work spans healthcare, retail, agriculture, and transportation sectors, utilizing cutting-edge tools and frameworks including TensorFlow, PyTorch, Kubernetes, AWS, and GCP. I enjoy solving challenging problems and building practical AI applications that drive business and research value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Lead Machine Learning Software Engineer/ Data Scientist at Meriti Inc

May 1, 2021 - Present

Led product-driven development of multiple AI models and pipelines for clients including Walmart, Two Sigma, Merck, and Albertson. Developed security models for abnormal user behavior detection, deep learning models for smart inventory management, semi-supervised pipelines for plant phenotyping, and OCR pipelines for railroad images. Migrated databases and data pipeline systems across major cloud platforms. Built marketing recommendation systems and MLOps pipelines leveraging AWS technologies. Also worked on real-time drone video captioning using advanced video-language models.

Senior Machine Learning Engineer at Voxelcloud

May 1, 2021 - August 20, 2025

Led development of smartphone-based skin condition screening systems using ensembling deep learning models on TensorFlow and AWS. Developed facial condition detection and acne severity grading models using multitask CNNs. Deployed and managed AI models in cloud environments using Docker and TensorFlow Serving. Collaborated with clinical researchers to support academic publications and FDA submissions.

Senior Data Scientist at Cleerly

August 1, 2019 - August 20, 2025

Joined as first employee and developed FDA 510k cleared whole heart segmentation U-Net model on PyTorch. Created vessel smart-skeleton algorithms innovating snake algorithms. Designed and implemented clinical tests for regulatory qualification. Worked on vessel pathfinding algorithms and automatic CT scan quality ranking using novel CNN training techniques. Developed distributed ML prediction API services on AWS.

Data Scientist at Cleerly

August 1, 2018 - August 20, 2025

Developed algorithms for vessel path finding and CCTA series quality ranking using deep learning. Worked on 3D image reconstruction algorithms for vessel curved multi-planar reformation. Designed low-cost distributed ML API services on AWS leveraging Lambda and Docker.

Software Engineer, Co-op at Cisco

December 1, 2016 - August 20, 2025

Developed health monitoring and visualization dashboard for NCS 6000 router using OpenDayLight SDN framework and AngularJS web technologies.

Research Assistant at Virginia Tech

May 1, 2016 - August 20, 2025

Designed Learning to Rank framework outperforming previous best on 2014 TREC Clinical Decision Support Task using Random Forest and Genetic Programming. Predicted CRISPR/Cas9 system failure with SVR and Random Forest models.

Researcher at Chinese Academy of Agricultural Sciences

December 1, 2014 - August 20, 2025

Performed statistical analysis of wheat NGS and RNA-Seq data using Perl and R.