Yifan (Casey) Lu Email & Phone Number

- Collaborated with professors and teaching assistants to facilitate Arduino programming courses for over 18 students aged 6 to 12. Provided one-on-one support, assisting an average of 10 students per session in troubleshooting and optimizing their projects, resulting in a 95% project completion rate.- Guided and mentored children in the design, construction, and programming of line-following robots, achieving a 90% success rate in project completion.- Organized and coordinated meals, activities, and rest periods for children over 30 times, ensuring a balanced and enjoyable daily schedule.

- Developed a pose estimation model for runners using Cascade R-CNN for multi-stage object detection and HRNet for high-resolution joint localization, achieving 92.5% accuracy in detecting 17 body joints under various speeds.- Implemented a kinematic analysis pipeline in Python to calculate joint angles, stride frequency, and stride length, using OpenCV for frame extraction and NumPy for data processing, enhancing biomechanical accuracy by 12%.- Reduced noise in joint trajectory data using Gaussian Smoothing with a kernel size of 5, combined with a Savitzky-Golay filter for enhanced data smoothness, improving real-time motion clarity by 15%.

- Assisted over 50 students in reviewing their theses and other papers, providing an average of 20 minutes of tutoring per student.- Provided feedback on areas for improvement and formatting errors, such as inappropriate wording and superscript mistakes.- Evaluated paper compliance under professors’ guidance and assisted in uploading submissions to the review platform.

- Assisted professors in teaching C/C++ and Python programming to freshmen and sophomores, conducting 16 classes and tutoring over 100 students.- Organized and guided students in studying algorithms, including topics such as binary trees and graph theory, preparing them for national and international algorithm competitions.- Identified challenges faced by students during their learning process and provided effective advice and support, responding to an average of 10 emails daily.

Chaoyang District, Beijing, China

- Designed and implemented order, booking, and tracking update pages for a Flutter mobile app, utilizing GetWidget for consistent UI styling; added image-sending function to the existing customer service chat page.- Built a WebSocket-based network request function to replace Dio, reducing real-time request latency by 200ms.- Developed a seat reservation function in the app with QR Code scanning, achieving over 1,000 daily users.- Migrated a Flutter mobile application to React Native, refactoring 43 Flexbox layouts, using Redux for state management and SSE for server-side request streaming, and deploying the app to App Store and Android markets.

Shanghai, China; Suzhou, Jiangsu, China

- Developed backend order processing logic for an e-commerce system using Spring, covering order submission, prevention of duplicate submissions, ID generation, and lifecycle management to streamline transaction workflows.- Optimized 25-table schema in MySQL, improving query paths and reducing average query time by 40%.- Set up a data center infrastructure with 480 servers, including subnet allocation for optimized network segmentation.- Configured VyOS-based routers and Layer 3 switches to significantly improve network stability and performance.- Deployed application modules using Docker containers orchestrated with Kubernetes on Linux servers, reducingsetup time by 60% and enhancing load balancing across containers for high availability.- Optimized RESTful APIs for order management, reducing JSON payload by 25% to enhance response time.- Implemented security measures to prevent SQL injection attacks, using prepared statements, input validation, and role-based access control, addressing over 20 vulnerabilities in database queries.

- After entering university, I formed a small team with mailing center of our campus dedicated to providing intelligent logistics solutions for students.- Developed an automated sorting system for my last-mile campus delivery team, capable of processing 6 packages per minute (up to 40×40×30 cm) with 97% accuracy, routing third-party packages to delivery slots based on address.- Built a C++-based control program on a Raspberry Pi 3B, using GPIO to signal stepper motors for the conveyor and a custom-built tilting mechanism at the end of the conveyor to deposit packages into specified slots.- Equipped the system with cameras connected with Raspberry Pi for package imaging; implemented OpenCV for local image preprocessing, Tesseract OCR to extract address and phone number data, and ZBar to decode barcodes.- Developed a backend service on Java EE hosted on Alibaba Cloud, using JDBC to connect to a MySQL database for address and tracking number management, and QGIS for building classification and route planning.- Built a Web management console with JS, Bootstrap and jQuery, allowing staff to create and update orders.- Developed a Vue.js tracking portal for users to monitor packages by tracking number, and a native Android app in Kotlin for couriers to view package details, perform delivery scans, and collect digital signatures.- Processed over 3,400 packages and pivoted during the COVID-19 to offer living and learning products for students.

Master Of Science - Ms, Computer Engineering

Specialization: Deep Learning, Computer Vision, and Natural Language Processing

Bachelor Of Engineering - Be, Computer Science And Technology, 94.42/100, Ranking No.1 In Both The Program And The Department

GPA Ranking in CS Program: 1/416 GPA Ranking in the Department: 1/2445 Specialization: Intelligent Software Development, Machine Learning.