CV

Jingtao Wei

Address: No.2301, 5 Building, Zhongjuntianfeng Residential Quarter, Beijing, China

Phone: +86 18513788133

Email: 1420905837@qq.com

EDUCATION

Peking University, School of Electronics Engineering and Computer Science

Bachelor of Science in Computer Science

• Major: Computer Science
• GPA: 3.34/4.0
• Awarded Courses:
  • The Introduction of Computing: A 3.88/4.0 (GPA)
  • Introduction to Computer Vision: 3.88/4.0 (GPA)
  • Programming Internship: 84/100 (Large assignments get excellent ratings)
  • The Introduction of AI: 85/100 (The self-trained model received a high score)

PROFESSIONAL & LEADERSHIP EXPERIENCE

Student Union, Peking University

Intern - Cultural and Sports Affairs Department & Ministry of Literature and Art

• Organized and planned New Year’s parties and graduation parties.
• Organized and planned various literary and artistic activities.

PROJECT EXPERIENCE

Canteen Roller

Project Developer

• Project Description: A campus-wide solution for Peking University students to help decide meals, eliminating the dilemma of “not knowing what to eat”.
• Job Responsibilities: Developed all functions including back-end logic and front-end rendering using C++ with the Qt framework.
• Project Scale: ~10 modules, over 1600 lines of code; 1 month for production and debugging.
• Project Highlights:
  • Personalized user experience with location-based automatic updates.
  • Integration with personal schedules to adjust canteen weights and distances.
  • Allows users to add custom dishes and edit their information and images.

Pac-Man AI Project

Project Intern

• Project Description: Implemented Pac-Man game operations based on deep learning and computer vision.
• Job Responsibilities: Wrote and trained core functions for deep learning models including Decision Trees, Random Forests, and MLP.

Othello with Agents

Project Developer

• Project Description: A Othello game supporting two-player and man-machine duels, with game state save/load functionality.
• Job Responsibilities: Programmed back-end interaction logic, agent decision-making AI, and front-end presentation in C++.
• Project Scale: ~700 lines of code; 3 weeks for development and debugging.
• Project Highlights:
  • Separate save/load for different game modes.
  • Integrated music box functionality during gameplay.
  • AI agent evaluates the game state to make strategic decisions.

SKILLS & INTERESTS

Languages

• Fluent in English
• Native in Mandarin

Technical Skills

• C++: Solid foundation in object-oriented programming with project experience.
• Frameworks: Familiar with Qt framework for application development.
• Python: Proficient in model writing, training, performance optimization, and debugging.
• Deep Learning: Familiar with common models (ANN, CNN, Transformer, Attention) and have code implementation experience.
• Reinforcement Learning: Knowledgeable in MDP, Policy Iteration, Value Iteration, Q-Learning.
• Machine Learning: Experience with path planning, PID motion control, and related algorithms.

Interests

• Computer Vision
• Cognitive & AI
• Reinforce Learning
• Embodied AI