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Algorithm Engineer at JD Group
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I am a Deep Learning Researcher at Sohu.Com. Technical skills • Programming: Python, C#, SQL, Java, OO Design, JavaScript, HTML, CSS • Tech Stack: TensorFlow, Scikit-learn, Keras, MySQL, T-SQL, MongoDB, jQuery, Bootstrap • System & Tools: Linux, Vim, Eclipse, Git, SSH, Agile
Georgia Institute of Technology
Master of Science in Computer Science, Machine Learning
January 1, 2017 – January 1, 2019
The University of British Columbia
Bachelor, Engineering Physics(Electrical Option)
January 1, 2008 – January 1, 2013
JD Group
Algorithm Engineer
October 1, 2020 – Present
Beijing, China
Sohu.com
Deep Learning Engineer
January 1, 2018 – October 1, 2020
Beijing, China
Confirmed Automation Systems Inc.
Software Engineer
January 1, 2014 – October 1, 2017
Vancouver, Canada Area
Research In Motion
LCD Developer
May 1, 2012 – August 1, 2012
Waterloo, Ontario
Pacific Insight Electronics
Glows Engineer
May 1, 2011 – December 1, 2011
Nelson, BC
The University of British Columbia
Research Assistant
January 1, 2010 – April 1, 2010
Greater Vancouver Metropolitan Area
Recurrent Neural Networks
August 1, 2017 – September 1, 2017
- Built RNNs that can generate sequences based on input data: used real market data in order to predict future Apple stock prices using an RNN model. - Trained another RNN on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it
Dog Breed Classifier
August 1, 2017 – September 1, 2017
- Built an algorithm to identify canine breed given an image of a dog. - If given image of a human, the algorithm identifies a resembling dog breed.
Build a Sign Language Recognizer
June 1, 2017 – July 1, 2017
- Built a system that can recognize words communicated using the American Sign Language (ASL). - Trained a set of Hidden Markov Models (HMMs) to identify individual words from test sequences. - Experimented with model selection techniques including BIC, DIC, and K-fold Cross Validation. Achieved a final recognition success rate of over 67%
Data Warehouse Concepts, Design, and Data Integration
Coursera
June 24, 2026 – Present
Algorithm: Design and Analysis
Coursera
June 24, 2026 – Present
Querying with Transact-SQL
edX
June 24, 2026 – Present
Introduction to Functional Programming
edX
June 24, 2026 – Present
Advanced Techniques for Designing HTML5 Apps
edX
June 24, 2026 – Present
HTML5 Coding Essentials and Best Practices
edX
June 24, 2026 – Present
Introduction to Computational Thinking and Data Science
edX
June 24, 2026 – Present
Introduction to JQuery
edX
June 24, 2026 – Present
Data Science and Machine Learning Essentials
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong inclination towards machine learning and deep learning, which, while valuable, might indicate a preference for more advanced analytical or data science roles rather than a pure Data Analyst role. The project diversity is strong in ML/AI, but less so in traditional business intelligence or data analysis outside of the 'Confirmed Automation Systems Inc.' role. The breadth of skills includes engineering physics, software development, and machine learning, suggesting adaptability but also a potentially broad focus that may need to be narrowed for a specific Data Analyst role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and analytical thinking. Experience in designing and optimizing systems (e.g., LED system, automated tests) suggests an operational fit for improving data processes. The ability to work in small teams (Pacific Insight Electronics) indicates collaborative potential.