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Parker (Jiawei) L.

Senior Algorithm Engineer at Ainstein

Parker (Jiawei) L. has a varied work experience. Starting in 2015, they were a Student Assistant in the Department of Electrical and Computer Engineering at The Ohio State University, where they graded courses such as ECE 5200 Intro to Digital Signal Processing and ECE 5013 Intro to Radar Systems. In 2016, they were a Graduate Research Assistant and Graduate Teaching Assistant at The University of Texas at Dallas. Additionally, they were a Student Office Assistant at The Ohio State University School of Music, where they ported a MATLAB version of a polyphonic alignment algorithm to Python. In 2019, they were a Research Intern at Samsung Research America (SRA). Lastly, in 2020, they were a System Engineering Intern at XCOM Labs, where they implemented bursty traffic models and designed and implemented multiple scheduling algorithms in a system-level simulator. In 2022, they will become an Algorithm Engineer at Ainstein.

Parker (Jiawei) L. has a diverse educational background. In 2010, they earned a Bachelor of Science in Electrical and Electronics Engineering from Nanjing University of Aeronautics and Astronautics. Parker (Jiawei) then went on to receive a Master of Science in Electrical, Electronics and Communications Engineering from The Ohio State University in 2016. Currently, they are pursuing a Doctor of Philosophy in Electrical, Electronics and Communications Engineering from The University of Texas at Dallas, which they are expected to complete in 2022. In addition to their formal education, they have also obtained a number of certifications, including the Deep Learning Specialization, Sequence Models, Structuring Machine Learning Projects, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Completion of 3 Day Workshop titled R for Data Scientists, Capstone: Retrieving, Processing, and Visualizing Data with Python, Python for Everybody Specialization, Using Databases with Python, Using Python to Access Web Data, Programming for Everybody (Getting Started with Python), and Python Data Structures.

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