MZ

NYU Cat Lover

matt@localhost:~/> echo notify.txt

This site is best viewed with vertical monitors

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matt@localhost:~/> echo career_intro.txt

An MS CompE student with a solid academic background in Computer Engineering from NYU. Experienced in Machine Learning, Quantitative Finance, and Cybersecurity through internships at Global AI and an Industrial System Security company.

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matt@localhost:~/> echo project_and_experience.txt

  • Healthtrack – clinic logistics dashboard

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    matt@localhost:~/> echo healthtracker.md

    A comprehensive solution designed to streamline and manage various aspects of healthcare processes. From patients to medicine, equipment to encounters, this platform covers it all.

    Features:

    • Login & Register System: Secure access for authorized personnel (HTTPS with Nginx).
    • Persistent Login: Seamless user experience with cookies saving login status.
    • Lab Tracker: Keep track of all lab activities, tests, and results.
    • Patient Tracker: Manage patient details, appointments, and histories.
    • Medical Encounter Tracker: Record and review all patient-doctor interactions.
    • Equipment Tracker and Maintenance: Stay updated with all equipment status and their maintenance schedules.
    • Pharmacy and Medicine Tracker: Ensure timely stocking and dispensing of medicines.
    • Dark Theme
    • Feedback and Review System: Allow patients to rate and review their experiences with healthcare professionals.

    In Progress

    • Chatbot Support: Implement a chatbot for instant answers to common queries, appointment scheduling, and medication reminders.
    • AI Diagnostics: Use machine learning models to provide preliminary diagnoses based on symptoms entered by patients.
    • Personalized Health Dashboard: Provide users with a dashboard that showcases their health trends, upcoming appointments, and other relevant information.
    • Medication Reminder: Send notifications to patients when it’s time to take their medications.
    • Telemedicine Integration: Allow video consultations between doctors and patients within the app. This can be particularly useful in situations where physical visits are challenging.

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  • Machine Learning Intern @ Global AI

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    Sep 2022 – Dec 2022 · 4 mos

    Wall Street, New York/ remote

    I have:

    • Design an imputation algorithm that interpolates the missing values using the data from the surrounding values justified by correlations.
    • Training the model on the whole dataset to find the best prediction for future stock market changes.
    • Applied time series analysis to model the data and build the forecasting model (LSTM) with MSE: 0.11 given range of output [-30, 30].

    matt@localhost:~/> echo forecasting_sp500.png; echo lstm.png

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  • Audio Visual Specialist @ Associated Students

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    San Diego, California, United States

    • Provided technical support to staff and programs, ensuring uninterrupted audio/visual production and efficient operation of computer systems.
    • Wrote a script to decrease form-filling procedures from 7 minutes to 2 seconds.
    • Assisted in setting up and operating audio/visual equipment for events, contributing to the seamless execution of various activities.

    Skills: Python (Programming Language)

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  • Karnaugh Map Generator

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    matt@localhost:~/> echo https://github.com/Mattz-CE/KMapGenerator/readme.md

    Little tool I made for my Computer Architecture class

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  • Software Security Intern @ Industrial Control System Security

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    Jan 2021 – Aug 2021 · 8 mosJan 2021 – Aug 2021 · 8 mos

    Shanghai, China

    • Collaborated with software and hardware engineers to replicate development environments, facilitating comprehensive security analysis.
    • Performed vulnerability analysis, code review, static analysis, and security testing/fuzzing, and gained expertise in exploitation techniques
    • Demonstrated the ability to identify and exploit security vulnerabilities, contributing to determining security threat levels
    • Assisted in developing an automated fuzzing framework, enabling targeted adversarial security testing and validation by research teams, software development, and test groups
    • Documented findings and worked closely with supervisor to create effective mitigation strategies for identified vulnerabilities.• Collaborated with software and hardware engineers to replicate development environments, facilitating comprehensive security analysis. • Performed vulnerability analysis, code review, static analysis, and security testing/fuzzing, and gained expertise in exploitation techniques.
    • Demonstrated the ability to identify and exploit security vulnerabilities, contributing to determining security threat levels. • Assisted in developing an automated fuzzing framework, enabling targeted adversarial security testing and validation by research teams, software development, and test groups. • Documented findings and worked closely with supervisor to create effective mitigation strategies for identified vulnerabilities

    Skills: Python (Programming Language); Java; Android Studio; MobSF

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