Sean Wei Kok Leong

Experience

• 

  Intel Corporation

  Dec 2017 - Dec 2017

  Finalist | Intel Industry-University Challenge 2017

  Smart Traffic Control System (STCS)• Worked in a team of 4 in prototyping a comprehensive traffic controlsystem.• System comes with 3 main functions which are accident detection,traffic violation detection and traffic monitoring.• Created a basic prototype using image processing with Python and LinuxOS system.

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  LONGi Solar

  Jun 2018 - Aug 2018

  Summer Intern

  • Performed troubleshooting of industrial electrical control panel usingcircuit drawings and wiring diagrams.• Worked alongside with equipment engineers in a team in delivering thebest solutions.• Obtained essential analytical skills by organizing problems in a 8Dreport.

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  University of Malaya

  Sept 2018 - Oct 2018

  Semi-Finalist | UNIMAKER 2018 Central Zone Competition

  Vehicle Collision Avoidance System• Developed a smartphone application which reduces the chances of lowspeed collision by providing warning to the driver using Android Studio.• Utilized machine learning with tensorflow in the training of vehicledetection model.

• 

  ViTrox Corporation Berhad

  Jun 2019 - Aug 2019

  Software R&D Trainee (Artificial Intelligence)

  Primary project: OCR (Optical Character Recognition)• Assisted the team in project development involves machine learning• Utilized Python programming language for data processing• Fine-tune and applied transfer learning on multiple pre-trained deep learning models to achieve specific objectives

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  Intel Corporation

  Jul 2019 - Sept 2019

  Semi-Finalist | Intel Industry-University Challenge 2019

  Title: Systematic Prediction with Artificial Intelligence Traffic Solutions (SPATS)• Utilized reinforcement learning algorithm (open source) to simulate the optimization of traffic light congestion scenario in Eclipse SUMO (Simulation of Urban MObility)• Utilized OpenVINO Toolkit with Intel Movidius Neural Compute Stick 2 and Up Squared Board to perform real-time age prediction with facial recognition to optimize the crossing time needed by the pedestrian.

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  Microsoft

  Apr 2020 - Jun 2020

  Semi-Finalist | Microsoft Azure Virtual Hackathon

  Title: Realtime Travel Time Predictions with Deep Arrival Time Prediction (DeepATP)-Performed data transformation on a large set of GPS trajectories data (5000000) using Python with Pandas, Numpy with Azure Machine Learning Services.-Utilized Azure Machine Learning Studio to train multiple models to predict estimated time arrival (ETA) of a vehicle.

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  Intel Corporation

  Jun 2020 - Sept 2020

  Pre-Silicon Validation Intern
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  Intel Corporation

  Jul 2021 - now

  SoC Front End Design Verification Engineer

  1. Collaborate closely with architects to define and create test plans that validate designs based on design specifications and requirements. 2. Develop testbench based on test plans to validate design, features and functionality of RTL design using SystemVerilog with UVM. 3. Performed formal verification to cover corner-cases that are unreachable by simulation-based functional verification using SystemVerilog Assertions and JasperGold. 4. Experienced in using Synopsys Verdi to perform waveform visualization and interactive debugs for simulation testing on test sequences.5. Experienced in using version control system such as Git and GitHub. Show less