Liu Pengfei

I am a highly skilled professional with a Master's in Information Science from the University of Pittsburgh. As an AI Intern at Tencent, ByteDance, and Yangzhou AI Research Institute, I've excelled in neural network construction, NLP tasks, and algorithm development. My expertise includes computer vision, data analysis, and proficiency in Python, Java, and C. With a strong publication record and a passion for algorithm design and sports, I bring a diverse skill set and a commitment to continuous growth.

• MIT Artificial Intelligence & Machine Learning Research, Real-time Image Detection and Dynamic Scheduling Optimization, 01/2022, 09/2022, Collaborated with teammates on paper review, Investigated different types of computer vision algorithms; designed and implemented a suitable deep neural network oriented to image data, Realized real-time monitoring and recognition of special targets, Conducted research based on investigation and understanding of the dynamic optimization scheduling problem and the latest reinforcement learning algorithm
• Capstone Experience - GeekSurvey, Coder, Product Manager, Conducted a secure web-based platform for recruiting software developers to participate in scientific studies, Improved algorithms to enable automatic emails to be sent to a large number of target recipients in a short period of time, Responsible for making the system allow linking with survey platforms based on tokens(Limesurvey, Qualtrics), Released different versions to Github in a timely fashion

• MIT Artificial Intelligence & Machine Learning Research, Real-time Image Detection and Dynamic Scheduling Optimization, 01/2022, 09/2022, Collaborated with teammates on paper review, Investigated different types of computer vision algorithms; designed and implemented a suitable deep neural network oriented to image data, Realized real-time monitoring and recognition of special targets, Conducted research based on investigation and understanding of the dynamic optimization scheduling problem and the latest reinforcement learning algorithm
• Capstone Experience - GeekSurvey, Coder, Product Manager, Conducted a secure web-based platform for recruiting software developers to participate in scientific studies, Improved algorithms to enable automatic emails to be sent to a large number of target recipients in a short period of time, Responsible for making the system allow linking with survey platforms based on tokens(Limesurvey, Qualtrics), Released different versions to Github in a timely fashion

• Author of A Novel Two-Lane Roundabout Model with Central Cross Structure, accepted by IEEE UV2022
• Author of A Novel Adaptive Signal Timing Control Approach for Signalized Intersections, accepted by IEEE UV2022 Author of A New Convolutional Neural Network for Identification of Damaged Electronic Components, accepted by IEEE UV2022

Embedded Language, Python, Web Programming, Database, Computer Vision, Data Analysis, Git/Github, Basic knowledge of Java and C language, proficient in Office MS and Google Docs, Computer Vision, Algorithm Design, Data Processing, Skiing, Soccer, Ping-pang, Badminton