Machine Learning Engineer Intern - BlackBerry QNX                                              May 2022 - Aug 2022

• Architected a data-processing pipeline and restructured the MongoDB database improving open-source license compliance processing data 60% faster

• Implemented end-to-end machine learning solution with fine-tuned XLNet NLP model improving the open-source license text classification model’s accuracy to 96% with Python(Tensorflow/Scikit-learn/Pandas)

• Developed and maintained automated CI/CD pipelines for containerized(Docker) and re-producable machine learning model deployment using Jenkins shortens production time by 100%

• Eliminated wasting time on open-source license compliance among over 100+ QNX team members by building machine learning web application with React and Flask

• Natural Language Processing 

• Python(Tensorflow/Scikit-learn/Pandas)

• Docker

• CI/CD

• Kubernetes

• MongoDB

• React

• Flask

Data Product Intern (Global Data Science) - TikTok(ByteDance)                           Sept 2021 - Dec 2021

• Worked for TikTok Global Data Science(Data Cycling Center)

• Extracted and analyzed data with SQL and Python to evaluate the impact of model iteration on the performance of launched CV and NLP model

• Implemented TikTok user behavior clustering models from formatting click stream data for 10 million+ US users and similarity graph to identify potential multi-dimensional users’ behavior through Hierarchical clustering