Software Engineering

This intership project focuses on developing a data pipeline using AWS and a web crawler to preprocess and standardize data. Team members include KWOK Hin Chi, Alfonso Portilla, Octavio Lomeli-Castro, and Karthik Iyer. All rights reserved by Rimble.

The Discovery Program incubates and accelerates data science and AI research high impact academic, government, non-profit, and industry projects across the globe while providing UC Berkeley students real world research experiences and mentorship opportunities.

This is an internship project at UC Berkeley and Nexa Speech, under the supervision of @NexaSpeech Lorenz Pichler and Alessandro Neri, made by Hin Chi Kwok, Kai Qin, Jaiteg Chahal, Nick Angelici, Nicole Han, and Ediz Ertekin.

This research project at McGill University under the supervision of Dr. Jin Guo in the McGill Software Technology Lab seeks to critically assess the current capabilities and limitations of ML-based documentation generation tools. By focusing on the generation of pertinent and high-quality information, the project aims to enhance the utility of these tools for developers, ultimately leading to more efficient and effective software engineering practices. The success of this project could lead to more context-aware machine learning solutions that align closely with the nuanced needs of software engineers.

This research project at McGill University under the supervision of Dr. Jin Guo in the McGill Software Technology Lab seeks to critically assess the current capabilities and limitations of ML-based documentation generation tools.

A Group Project of Database Systems (COMP2411) subject at The Hong Kong Polytechnic University, made by CHEN Derun, JIANG Guanlin, KWOK Hin Chi, LIU Minghao, YE Haowen, and ZHANG Wengyu.