CSOAsupport Team Introduction
Essay Writing, Interview Coaching for Tech Companies, Recognize CSOAsupport
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Programming | OA | VO Interview Assistance Team
(Team Members For Proxy Interview And Online Assessment.)
CSOAsupport recruits strong and like-minded members from all over the world every year to provide professional and cost-effective service for international student homework help and remote interviewing.
Henry Lee is a technical consultant of CSOAsupport ghostwriting team. He graduated from UC Berkeley in 2012 with a PhD in Computer Science, he has done in-depth research on the development and application of large-scale distributed machine learning systems, and is now working in Meta Artificial Intelligence Research and Development Department.
Richard Wang received his undergraduate degree in Mathematics from Peking University, and his PhD in Computer Science from Stanford University, focusing on Big Data and Artificial Intelligence. He used to work in Google Ads R&D department, and is now one of the main leaders of Computer Vision and Predictive Analytics R&D direction in Amazon.
David Wu received his undergraduate degree in Mathematics and Statistics from Cornell, and has more than 15 years of experience in data structures and algorithms development. He has worked at Oracle, and is currently working as a Senior Engineer in Systems Integration and Software Development at Microsoft.
Jack Huang, a Senior Solutions Architect at Google, is a seasoned technical expert with over 8 years of experience. He holds a Bachelor's degree in Computer Science from Zhejiang University and a Master's degree in Computer Science from Peking University. Jack possesses a deep specialization in audio processing algorithms and is proficient in mainstream development languages like Java, C++, and Python. During his university years, Jack achieved outstanding results in ACM competitions and published multiple top-tier academic papers. As an exceptional mentor, he has successfully guided over a hundred students into leading tech companies such as Microsoft, Google, and Amazon.
Graduated with a bachelor's degree in Mathematics from Tsinghua University,Michaelis currently pursuing his Ph.D. in Computer Science at Oxford University. He possesses extensive practical experience and demonstrates outstanding technical prowess in big data, particularly excelling at designing complex mathematical models using MATLAB Simulink. Furthermore, he has years of specialized experience in signal analysis, adeptly performing time-domain, frequency-domain, and modulation-domain analyses. Micheal is also highly proficient in using M-language to implement critical functionalities including channels, modulation, and coding.
Peter Chanis a seasoned technical expert with years of experience at top-tier tech companies like Google and Apple. He has made significant academic contributions in the field of Deep Learning Natural Language Processing (NLP), evidenced by multiple high-quality SCI publications. His top-tier programming skills are highlighted by his ranking among the top 100 on LeetCode nationwide. With his exceptional technical acumen and extensive professional mentoring experience, Peter is proficient in core deep learning platforms such as TensorFlow, Keras, and PyTorch, and adept at applying them to key NLP scenarios like question-answering systems, named entity recognition, and text classification.
