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Michael Law
Computer Science student at Purdue University
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Michael Law

Computer Science student at Purdue University
Driven and adaptable computer science student with a passion for learning and applying new skills. With experience in software engineering and a self-taught background in various computer science topics, I have developed multiple projects that showcase my ability to adapt quickly to new challenges. I am committed to motivating both myself and my peers, and hope to use technology to make a positive impact on the world.
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Purdue University
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Purdue University
United States

Professional Background

  • Statut Actuel
    Étudiant
  • Profession
    Software Engineer
  • Fields
    Logiciel
    SaaS / Services Cloud
    Intelligence Artificielle / Machine Learning
  • Expérience professionnelle
    2 à 4 ans (1 à 2 ans pertinente)
  • Management
    None
  • Skills
    Python
    C Programming
    Java
    R
    Leadership
    Communication
    Logical Thinking
    Problem Solving
  • Languages
    English
    Natif ou Bilingue
    Chinese
    Natif ou Bilingue
  • Highest level of education
    Bachelor

Job search preferences

  • Desired job type
    Intern
    Intéressé par le travail à distance
  • Desired positions
    Software Engineer
  • Lieu de travail désiré
    Taipei City, Taiwan
    United States
  • Freelance
    Je ne suis pas indépendant

Work Experience

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Computer Vision Research

mars 2023 - Présent
1. Implemented neural network-based image processing techniques for efficient people detection, contributing to improved accuracy and precision in object recognition. 2. Integrated the image processing features into a mobile application, resulting in a user-friendly and intuitive platform for real-time object detection and analysis.
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Academic Intern

NASA
Stage
août 2022 - Présent
United States
Working on computational and data mining approaches for NASA Space Biology and Medicine with GeneLab as part of Purdue Data Mine.
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Industrial Engineering Intern

mai 2021 - août 2021
4 mos
United States
1. Developed a cost effective plan that saves approx. $46,000/yr for the Lafayette campus 2. Calculated the estimated savings before/after installing occupancy sensors using R 3. Analyzed more than 40 campuses and evaluated the EUI (Energy Use Intensity) for all buildings provided by EnergyStar 4. Collected data for the electricity system in person and consulted with clients 5. Applied cost analysis techniques to help our team decide the final investment cost

Education

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Bachelor of Engineering (BEng)
Computer Science, Industrial Engineering
2019 - 2024
3.5/4 GPA
Activités et groupes
Purdue Alumni Student Experience, Society of Asian Scientists and Engineers
Description
Minoring in Computer Science, Engineering Dean's List