Senior Machine Learning Engineer

• Jan 2021 - Present

Machine Learning Engineer

• Feb 2019 - Jan 2021

Work with Podimetrics’ Chief Data Scientist, engineers, and doctors. Responsible for a wide array of technical responsibilities including developing machine learning predictive models for Podimetrics’ medical technologies, analyzing data to contribute to the advancement of scientific state of the art in diabetic foot research, programming in Python to automate business processes, and building internal software tools to ensure the services Podimetrics provides are effective and efficient.

Lab Assistant

• Sep 2018 - Jan 2019

Lab Assistant for a graduate course: Enterprise Client/Server Software• Provide assistance to students with course materials and homework including HTML, CSS, ASP.NET, and Databases, etc.• Assist professor to grade assignments.

Graduate Student

• Sep 2017 - Jan 2019

Master of Computer Engineering with Engineering Practice

Software Development Intern

• May 2018 - Aug 2018

Data Analysis, Image processing, Machine Learning, Software Development • Worked with the Chief Scientist, Engineers, and Doctors to research and frame problems. • Built a robust machine learning model based on foot temperature to detect feet for our Remote Temperature Monitoring System, and improved the performance by implementing a faulty sensor detection model to identify and remove outliers. • Collected and analyzed medical data, interacted with Cloud Platforms (Google Cloud, AWS, etc.). • Constructed a model predicting the occurrence of neuropathy in patients with diabetic foot ulcers. • Implemented web scrapers interacting with web pages to mail letters, collect medical publications. • Developed software tools to improve the existing medical products and services. Show less

Software Engineer

• Jun 2016 - Aug 2016

• Worked with Advanced Driver Assistance System (ADAS) product development team. • Collected ground image data by using surround view fisheye cameras mounted around the vehicle body. • Cleaned and Processed image data for ground condition detection project. • Implemented CNN model to classify different ground conditions (dry, wet, snow) in both daytime and nighttime. • Improved the accuracy of the classification model by 10% using additional ground features. • Worked with Advanced Driver Assistance System (ADAS) product development team. • Collected ground image data by using surround view fisheye cameras mounted around the vehicle body. • Cleaned and Processed image data for ground condition detection project. • Implemented CNN model to classify different ground conditions (dry, wet, snow) in both daytime and nighttime. • Improved the accuracy of the classification model by 10% using additional ground features.