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David Krajewski is a seasoned software engineer with expertise in machine learning, computer vision, and natural language processing. He has worked on various projects, including Campfire, Amazon Forecast, and Ternary Developments. David holds a Bachelor of Science degree in Computer Science from Carnegie Mellon University and has completed certifications in Modern C++ Concurrency and Deep Learning. With experience in multiple industries, including technology, finance, and healthcare, David has developed strong skills in programming languages such as Python, Swift, and Node.js. He is proficient in frameworks like TensorFlow, PyTorch, and React.js. As a skilled researcher and developer, David has published papers and presented at conferences, showcasing his expertise in AI and machine learning.

Credentials

  • Modern C++ Concurrency: Get the most out of any machine
    Educative, Inc.
    Jul, 2023
    - Apr, 2026
  • Deep Learning Nanodegree
    Udacity
    May, 2020
    - Apr, 2026

Experience

  • SketchPro.ai
    • San Francisco, California, United States
    • Applied AI Research Intern
      • May 2024 - Present
      • San Francisco, California, United States

  • Carnegie Mellon University
    • Pittsburgh, Pennsylvania, United States
    • 15-462 Computer Graphics Teaching Assistant
      • 2024 - Present
      • Pittsburgh, Pennsylvania, United States

  • Niantic, Inc.
    • San Francisco, California, United States
    • Software Engineer Intern
      • May 2023 - Aug 2023
      • San Francisco, California, United States

      Helped launch Campfire (social app), pushing consumer-facing features to approximately 4 million daily active users.Implemented LLM-based tool for automatic large-scale data population and user automation across multiple environmentsDeveloped memory optimization techniques for Redis caching, saving terabytes of cached data.

  • Amazon Web Services (AWS)
    • Seattle, Washington, United States
    • Software Engineer
      • May 2022 - Aug 2022
      • Seattle, Washington, United States

      Worked under the Amazon Forecast team, focusing on Machine Learning based time series forecasting.Built an automation platform to optimize on-call engineers’ routine product maintenance using React.js and Python

    • Software Engineer
      • Mar 2021 - Oct 2021

      Developed and maintained new features for membership management dashboard for administrators and users. Led development on the OptionsFlow platform, processing over 1.5 million stock options in real-time to give thousands of users live data on market movement.

  • Swiped Solutions LLC
    • Miami/Fort Lauderdale Area
    • Founder / CEO
      • Jun 2018 - Jan 2021
      • Miami/Fort Lauderdale Area

      Provide a quick and convenient mobile solution for automating the process of checking out on high traffic websites. Work using the Swift programming language on both implementing the front end and the back end of the iOS application, using innovative networking techniques to provide seamless transitions between HTTPS requests and browser views. Create and implement an analytics system for tracking user traffic from within the application and sending that to a custom built rest API.

  • University of Florida
    • Miami, Florida, United States
    • Machine Learning Researcher
      • Jun 2020 - Sep 2020
      • Miami, Florida, United States

      Used LSTM networks to predict occupancy rates, average daily rates, and overall demand for hotels in the U.S and China. Prioritized predictions during times of crisis (such as the Covid-19 pandemic). Published and presented at the Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism. Worked under supervision from Ph.D. student and assistant professor Tianyu Pan.

  • Self-Employed
    • Miami/Fort Lauderdale Area
    • Freelance Software Developer
      • Jun 2018 - Jun 2020
      • Miami/Fort Lauderdale Area

      Provide clients with end to end development for their requested project. Work with making rest APIs using Node.js, websites with React.js, and mobile apps using React Native. Worked on a variety of solutions specifically tailored to the client's needs.

    • (Cancelled) Computational Science Researcher
      • 2020 - 2020
      • Miami, Florida, United States

      J.J Vance Internship using Computational Science in the field of Human Genomics. Offer withdrawn due to the Coronavirus pandemic.

  • Zaniac
    • Miami/Fort Lauderdale Area
    • Instructor
      • Jun 2019 - Aug 2019
      • Miami/Fort Lauderdale Area

      Part-time Summer instructor teaching elementary and middle school students the fundamentals of robotics, computer science, and math.

  • AHT Global
    • Miami/Fort Lauderdale Area
    • Engineering Intern
      • Jun 2018 - Aug 2018
      • Miami/Fort Lauderdale Area

      Worked on consumer sound, network, and home theater equipment designing and fabrication team.

Education

  • 2021 - 2025
    Carnegie Mellon University School of Computer Science
    Bachelor of Science - BS, Computer Science
  • 2017 - 2021
    Gulliver Preparatory School
    High School Diploma
  • 2020 - 2021
    University of Miami
    Dual Enrollment, 12th

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Industry Focus. “Computer Software”

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