• Development of machine learning algorithms for FDA-regulated medical device at 30-person biotech startup• Worked with the algorithm team to design and build a ETL(Extract, Transform, Load) pipeline using Python and HTTP APIs to extract data from SQL database and convert it into a data frame using Pandas to prepare for model training• Analyze high dimensional data in Jupyter Notebook• Developed an internal Algorithm Evaluator pipeline to test new incoming data on trained models using Python to enable algorithm team and research scientists to analyze and identify outlier and inlier of the new data• Updated Algorithm Execution pipeline using Python to integrate message receiving/ sending, logging, ETL, and generate result using trained models• Built a mock site web services using Python flask library to enable hardware engineers to perform test cases on FDA-regulated medical devices by sending and receiving data in json format via HTTP APIs communication• Collaborate with cross-functional team to update the front-end and back-end of the Algorithm Webservice application using C#, HTML, and JavaScript• Update and manage the algorithm SQL database; populate new tables, migrating data, developed new stored procedures and functions.• Managed version control of the all software product as Configuration Manager during a two-week rotation

• Development of an internal web application for Doble to improve the efficiency of creating and releasing products• Created and present a mockup of new feature to SQA and project managers before implementation using Balsamiq• Manage the webpage using Internet Information Services (IIS) and use SQL Database to store relevant data• Worked on both the front-end and the back-end of the web application using C#, html, and Angular JS on top of JavaScript• Created and update documentation on the web application project

• Taught pre-calculus class, graded exams and homework• Provided extra tutoring for 10 rising seniors before and after class• Mentored a pair of student on MATLab project