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Hi, I’m Zhuoran Wu, a Sr. Data Scientist and ML Engineer based in Rancho Cucamonga, CA. I bring 8+ years of hands-on experience building AI solutions across healthcare, finance, retail, and real-time systems. I specialize in computer vision, deep learning, and end-to-end ML pipelines—from research and prototyping to production deployment. I’m passionate about delivering scalable, high-performance models for tasks like pose estimation, facial recognition, gaze tracking, churn prediction, and recommendation systems. I enjoy solving real-world problems with practical, data-driven approaches and collaborating with cross-functional teams. I’ve built and governed ML lifecycles with MLOps best practices, deployed models on AWS/GCP, and focused on privacy, latency, and impact to drive measurable business value.…Hi, I’m Zhuoran Wu, a Sr. Data Scientist and ML Engineer based in Rancho Cucamonga, CA. I bring 8+ years of hands-on experience building AI solutions across healthcare, finance, retail, and real-time systems. I specialize in computer vision, deep learning, and end-to-end ML pipelines—from research and prototyping to production deployment. I’m passionate about delivering scalable, high-performance models for tasks like pose estimation, facial recognition, gaze tracking, churn prediction, and recommendation systems. I enjoy solving real-world problems with practical, data-driven approaches and collaborating with cross-functional teams. I’ve built and governed ML lifecycles with MLOps best practices, deployed models on AWS/GCP, and focused on privacy, latency, and impact to drive measurable business value.

Zhuoran Wu

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi, I’m Zhuoran Wu, a Sr. Data Scientist and ML Engineer based in Rancho Cucamonga, CA. I bring 8+ years of hands-on experience building AI solutions across healthcare, finance, retail, and real-time systems. I specialize in computer vision, deep learning, and end-to-end ML pipelines—from research and prototyping to production deployment. I’m passionate about delivering scalable, high-performance models for tasks like pose estimation, facial recognition, gaze tracking, churn prediction, and recommendation systems. I enjoy solving real-world problems with practical, data-driven approaches and collaborating with cross-functional teams. I’ve built and governed ML lifecycles with MLOps best practices, deployed models on AWS/GCP, and focused on privacy, latency, and impact to drive measurable business value.…Hi, I’m Zhuoran Wu, a Sr. Data Scientist and ML Engineer based in Rancho Cucamonga, CA. I bring 8+ years of hands-on experience building AI solutions across healthcare, finance, retail, and real-time systems. I specialize in computer vision, deep learning, and end-to-end ML pipelines—from research and prototyping to production deployment. I’m passionate about delivering scalable, high-performance models for tasks like pose estimation, facial recognition, gaze tracking, churn prediction, and recommendation systems. I enjoy solving real-world problems with practical, data-driven approaches and collaborating with cross-functional teams. I’ve built and governed ML lifecycles with MLOps best practices, deployed models on AWS/GCP, and focused on privacy, latency, and impact to drive measurable business value.

Available to hire

Hi, I’m Zhuoran Wu, a Sr. Data Scientist and ML Engineer based in Rancho Cucamonga, CA. I bring 8+ years of hands-on experience building AI solutions across healthcare, finance, retail, and real-time systems. I specialize in computer vision, deep learning, and end-to-end ML pipelines—from research and prototyping to production deployment. I’m passionate about delivering scalable, high-performance models for tasks like pose estimation, facial recognition, gaze tracking, churn prediction, and recommendation systems.

I enjoy solving real-world problems with practical, data-driven approaches and collaborating with cross-functional teams. I’ve built and governed ML lifecycles with MLOps best practices, deployed models on AWS/GCP, and focused on privacy, latency, and impact to drive measurable business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist / Computer Vision Scientist at Alcon

August 20, 2023 - November 28, 2025

Architected a scalable, privacy-compliant data lakehouse for a national healthcare NGO, integrating patient survey data, EHR extracts, and public health feeds using AWS Glue, Lambda, S3, and PostgreSQL. Reduced data latency from 2–3 days to under 6 hours, enabling near real-time operational decisions. Productionized ML workflows using SageMaker Pipelines (preprocessing, training with AutoGluon/XGBoost/scikit-learn, evaluation, registration, and deployment). Implemented strict data privacy measures (hashing, masking, k-anonymity) and reduced cloud costs by ~30% with serverless patterns and auto-scaling. Delivered BI-ready datasets and lightweight monitoring dashboards. Standardized ML lifecycle governance with MLflow, Feature Store, and PySpark validation. Enabled cross-cloud analytics via Microsoft Fabric: OneLake Delta tables, Data Factory pipelines, and direct BI access.

Standard AI - Deep Learning Researcher at Alcon

August 31, 2023 - August 31, 2023

Developed real-time 2D/3D human pose estimation systems and scaled multi-view pipelines (fish-eye/multi-angle video) for large TB-scale datasets. Achieved ~30 FPS real-time inference and reduced training time by 40% using cost-efficient GPU clusters and CI/CD integration with MLflow, DVC, and Jenkins. Built privacy-aware data handling (masking, synthetic augmentation, human-in-the-loop) and created a reproducible Feature Store to support cross-team experimentation and model explainability. Collaborated with product teams to align models with KPIs such as checkout speed and edge latency, and contributed to internal patents related to pose estimation and real-time tracking.

Machine Learning Engineer at Ultraviolet

August 31, 2019 - August 31, 2019

Developed and optimized real-time mobile ML pipelines for face anti-spoofing, face recognition, and action recognition using TensorFlow Lite with ARM optimization and quantization. Implemented a flow-based pose tracking algorithm for smooth multi-frame tracking with bounding box embeddings. Built a gaze estimation system with sub-10ms latency and <5° mean angular error, and curated the OctiGaze dataset (256K+ RGB/IR samples) for benchmarking.