Computer Science First Year

Dao Duc Thinh

Bachelor of Science in Computer Science, Vin University adyorv@r.postjobfree.com +84-343-***-*** LinkedIn: https://www.linkedin.com/in/thinh-dao-08b548214/ Github: https://github.com/Ducthinh19102003

EDUCATION

TRAN PHU HIGH SCHOOL FOR THE GIFTED 2018 - 2021

· Cumulative GPA: 9.6/10 IELTS: 7.5 August, 2020

· SAT: 1570/1600 03/ 2021 SAT MATH: 800/800 11/2020 VIN UNIVERSITY 2021 - NOW

· Cumulative GPA: 3.61/4.

· Relevant courses: Linear Algebra, Advanced Probabilities and Statistics, Discrete Mathematics, Object-oriented Programming with Data Structures, Algorithm Design, and Artificial Intelligence.

· Independent Study: Machine Learning CS229 (Stanford), Reinforcement Learning CS234 (Stanford). AWARDS

· Dean’s List for Spring and Fall semesters of the First Year, and Fall semester of 2023.

· 90% scholarship, VinUniversity in Department of Computer Science. SKILLS

· Programming language: Python, Java, Kotlin.

· Frameworks: Pytorch, Tensorflow, Scikit-learn, Flask, Django.

· Technology: Git, Docker, Firebase.

WORK EXPERIENCE AND PROJECTS

RESEARCH ASSISTANT 09/2021 – NOW

· Advisor: Prof. Khoa D. Doan and Kok-Seng Wong.

· Project: Currently researching Physical Backdoor attacks and Federated Learning deployment on mobile phones

VINUNI EASYBOOKING 08/2022 – 04/2022 CODE REPORT

· This is a term project for the Object-Oriented Programming course for the first year. VinUni Easy Booking is a multi-functional app that combines booking services including Office Hour, Discussion Room and Check Calendar/Create Event for VinUnians (both Students and Professors). AUTONOMOUS CAR CECS COMPETITION 09/2021 – 04/2022 REPORT

· Implement code for lane-line detection algorithm: Using Canny edge detector with OpenCV, together with Gaussian blur for noise filtering and perspective transform for bird-eye view to calculate the throttle and steering angle that keeps the car in the center of the lane. PACMAN AI 03/2023 – 06/2023 CODE REPORT

· Project: Implement different AI algorithms for Pacman agents and Ghost agents on top of the Pacman Project from UC Berkley’s CS188. Through Deep Reinforcement Learning, Pacman manages to achieve outstanding performance that surpasses any human players.

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