Machine Learning C++

KEVIN WU

929-***-**** ***********@*****.*** www.linkedin.com/in/kevin-wu-7207b2326

LANGUAGE AND IT SKILLS

• Languages: Verilog, Matlab, C/C++, Python, SQL

• Other Tools: Cadence Virtuoso, JasperGold, LTspice, Pytorch, CAD, Latex, Linux, MS Office Suite EDUCATION

Columbia University, New York, NY

M.S. in Electrical Engineering, GPA: 3.8 Expected Dec 2025

• Courses: Speech and Audio Processing, Advanced Logic Design, Analog Electronic Circuits, Digital VLSI Circuits, Formal Verification of Hardware and Software Systems Sun Yat-sen University, Guangdong, CN

B.S. in Electronics and Communication Engineering, GPA: 3.8/4.0 Jun 2024

• Courses: Signals and Systems, Stochastic Processes and Statistical Signal Processing, Data Structures and Algorithms, Engineering Drawing, Analog Circuit, Digital Circuits PROJECTS

Buck Power Converter Tape Out - Sponsored by Apple Inc., New York, NY Jan 2025 - Present Member

• Designed and taped-out a 2mm 1mm power management IC using TSMC 65nm node technology, featuring a Single Inductor Multiple Output converter with Time Multiplexing Control for efficient multi-output voltage regulation

Research on Real-time Lane Detection and Intelligent Warning Technology Guangdong, CN Leader Oct 2022-Nov 2023

• Developed a real-time lane detection model based on machine learning. Utilizing deep learning and integrating the concept of row classification, this model facilitates rapid and accurate detection of lane lines.

• Developed a lane detection system using PyCharm, Anaconda, and Pytorch, which allows users to select and perform detection on videos. Experimental results demonstrate that this model performs exceptionally well on the CULane lane line dataset, achieving outstanding detection results.

• Designed a lane departure warning algorithm based on deviation probability. It can timely alert drivers to adjust their driving state, effectively preventing lane departure accidents. Driving Strategy Recommendation Based on Vehicle-Road Coordination Guangdong, CN Member, Undergraduate Innovation and Entrepreneurship Training Project May 2022-Dec 2022

• Took charge of carrying out preliminary investigations on the significance and feasibility of the project and developing the collision avoidance model by using field sensing equipment and communication network

• Collaborated with team members to optimize the autonomous emergency braking (AEB) system by introducing three levels of braking acceleration

• Ran simulation tests at Simulink and performed data analysis WORK EXPERIENCE

Huawei Technologies Co., Ltd, Guangdong, CN Aug 2023 - Feb 2024 Software Development Intern, Audio Group

• Contributed to development of a distributed speaker system for tablet PCs using virtual audio technology.

• Refactored the Bluetooth module by designing filters to implement various voice modulation effects, and conducted comprehensive testing.

• Designed and constructed a web application can summarize project problems and enhance work efficiency of department based on the Flask framework

Adaps Photonics, Guangdong, CN Feb 2023 - Aug 2023 System Intern

• Created chip test plans based on chip specifications and requirements and write test cases

• Built test environment, participated in test of new stacked in-vehicle dToF chip, including chip function, performance, and reliability, analyzed test data, and produced test reports

• Wrote codes and completed calibration and correction of lens distortion with optical imaging principles

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