Data Engineering / Data Analysis
MLOps / Machine Learning / Data Science
Apr. 2022 - Jul. 2023
Developed a model using U-net to detect ship tracks in satellite images, resulting in an 80% times savings.
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, where the traditional method is about 80%.
Configured and managed a GPU-enforced workstation for the lab members to execute High Performance Computing (HPC) tasks.
Sep. 2021 - Mar. 2022
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.
May. 2019 - Sep. 2021
Sep. 2016 - Jan. 2019
Sep. 2011 - Jun. 2016
Programming: Python, R, C/C++, GO, Matlab, Fortran
Machine Learning:
Databases: PostgreSQL, MySQL, MongoDB
Data Engineering: Databricks, PySpark, Airflow, Airbyte
Cloud (AWS): Lambda, S3, EC2, Personalize, VPC
Lightning Prediction with Deep Learning and explain the model with physical methods.
Learning to generate the Manhattan building with Deep Convolutional GAN from OpenStreeMap building model.
Predicting short-term stock market price trends with Machine Learning.
Build an Investment Portfolio machine with a Rebalancing Strategy from scratch.
Data Engineering / Data Analysis
MLOps / Machine Learning / Data Science
Apr. 2022 - Jul. 2023
Developed a model using U-net to detect ship tracks in satellite images, resulting in an 80% times savings.
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, where the traditional method is about 80%.
Configured and managed a GPU-enforced workstation for the lab members to execute High Performance Computing (HPC) tasks.
Sep. 2021 - Mar. 2022
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.
May. 2019 - Sep. 2021
Sep. 2016 - Jan. 2019
Sep. 2011 - Jun. 2016
Programming: Python, R, C/C++, GO, Matlab, Fortran
Machine Learning:
Databases: PostgreSQL, MySQL, MongoDB
Data Engineering: Databricks, PySpark, Airflow, Airbyte
Cloud (AWS): Lambda, S3, EC2, Personalize, VPC
Lightning Prediction with Deep Learning and explain the model with physical methods.
Learning to generate the Manhattan building with Deep Convolutional GAN from OpenStreeMap building model.
Predicting short-term stock market price trends with Machine Learning.
Build an Investment Portfolio machine with a Rebalancing Strategy from scratch.