Mengqi Chen Email & Phone Number

I have recently obtained my Ph.D. degree in Computer Science at Shenzhen University, supervised by Kaishun Wu (IEEE Fellow).As a Researcher, I lead a pivotal experiment on wireless sensing, such as object recognition and object tracking. I also conduct exploratory analyses of IoT sensor signal embeddings within transformer-based models to enhance the experiment's robustness.Previously, I had internship experience as a Machine Learning Engineer at Tencent, where I designed and developed a graph-based machine learning model for personalized watch history embedding, enhancing the short video recommendation. In my spare time, I study arbitrage trading opportunities in cryptocurrencies. Finding profit spreads from multiple CEXs and automating the trading process using a program.I am seeking full-time opportunities as a quantitative trader, focusing on cryptocurrencies.I have a strong enthusiasm for utilizing mathematical methods and continuous learning to tackle complex problems and drive innovation in the related field.

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  Machine Learning Researcher

  Tencent

  Jul 2021 - Oct 2021 - Shenzhen, Guangdong, China

  ◦ Deep Learning Research: Conducted research for the recommender system, improving the performance of the recommendation feed on the QQ browser. ◦ Model Design: Designed a large scare machine learning model (graph-based approach) for personalized cross-domain item embedding, enhancing the hit rate and efficiency of short video recommendations.◦ End-to-end Model Development: Developed end-to-end flow projects and data pre-processing pipelines for efficient data transformation and predictive modeling.◦ Evaluation Analysis: Led experiments to evaluate the impact of the item embeddings and practical scenario performance.