Eric Zou

Experience

• 

  Taiwan AI Academy

  Oct 2018 - Oct 2018

  交流課程講師(機器學習)
• 

  Vizuro

  May 2019 - Sept 2021

  Data Scientist

  - Developed an end-to-end pipeline to detect Breast Cancer in 3D Breast MRI images, encompassing data storage, data pre-processing, and detection model building.- Leveraged the power of deep learning algorithms, fusing them with insights gathered from medical research, to refine and augment the performance of our breast cancer diagnosis model.- Deployed the Deep-learning Breast Cancer Detection model integrated to the hospital PACS system.- Developed a model to segment 3D breast MR images and deployed it to ImageJ to expedite annotation and reduce labeling time. Show less

• 

  國立臺灣大學

  Sept 2021 - Feb 2022

  Machine Learning Researcher

  - Developed a model to detect ship tracks in the satellite images with U-net that saves 80% time.- Cooperated with multiple domain experts, including Atmospheric Science and Environmental Science, to solve problems with machine learning techniques.- Developed a model to classify Typhoon tracks with 96.5% accuracy rate.- Configured and managed a GPU-enforced workstation for the lab members to execute High Performance Computing (HPC) tasks.

• 

  Vinnovation Network

  Apr 2022 - Jul 2023

  Data Team Lead | Senior Data Scientist | AI/ML Engineer

  Data Engineering / Data Analysis- Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake.- Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files.- Utilized Databricks for large-scale data processing, leveraging its Spark capabilities to efficiently transform and aggregate incoming data streams.- With the combined power of Databricks and AWS Lambda, ensured unparalleled data consistency, quality, and preparedness for sophisticated analytics and reporting.- Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake.- Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks.MLOps / Machine Learning / Data Science- Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration.- Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance.- Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment. Leveraged automation tools to swiftly adapt models to new data.- Developed an API service used as an internal tool within the company, leveraging OpenAI Whisper for automatic speech recognition and ChatGPT for intelligent language translation, resulting in approximately an 80% reduction in manpower and time costs.- Fine-tuned a Llama-based Large Language Model (LLM) and, by integrating Langchain and Pinecone, optimized the search experience on our website. Show less