Justin Serowik

Senior Machine Learning Engineer at UneeQ
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Location
Seattle, Washington, United States, US
Languages
  • English Native or bilingual proficiency
  • Polish Native or bilingual proficiency
  • French Elementary proficiency

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Credentials

  • CPR/AED Certification
    American Red Cross

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Dec 2021 - Present

      - Leading research initiatives aimed at developing bleeding-edge generative deep learning models - Assisting in data capture from live, running applications in a variety of programming languages - Developing a scalable and versatile Deep Learning training environment for complex, multimodal models from scratch to production using Python - Programming modules for data validation and testing on trained models to assess Real-World performance - Managing cloud deployment and active usage of our Deep Learning environment, including setting up independent instances for deployment of production-ready models - Performing literature reviews and presenting compelling research topics to colleagues - Mentoring team on Deep Learning related approaches and emerging techniques within the field - Assisting team members on any Machine Learning tasks Show less

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Deep Learning/Computer Vision Research Software Engineer
      • Jul 2019 - Nov 2021

      - Worked to make commercial data and intelligence sources easier and better to use for DoD projects- Designed and programmed new Deep Learning architectures to perform Semantic Segmentation on limited data in PyTorch and TensorFlow that achieved state-of-the-art performance- Lead research on new ways to perform Unsupervised Clustering on highly complex sparse data- Implemented ETL pipelines for efficient training, testing, and deployment cycles- Deployed multiple generalizable Deep Learning models on a global scale- Managed various research initiatives at different stages concurrently- Lead proposals on healthcare-focused projects targeting affordable prosthetic technologies- Mentored other team and department members in Deep Learning- Awarded the Program Recognition Award, the highest accolade MITRE offers, for my contributions Show less

    • Communications Network Engineering Graduate Intern
      • May 2018 - Jun 2019

      - Designing and building architectures for different Neural Network models such as Convolution Neural Networks, Recurrent Neural Networks, and Capsule Networks- Training, validating, and testing Neural Network models on highly complex Big Data sets using Tensorflow and Keras- Preprocessing and parsing data using Python libraries such as Matplotlib, Pandas, Numpy, and Scikit to assure accuracy and performance of complex subgroups of the Big Data set- Creating custom Docker environments for Machine Learning- Programming custom software libraries and machine level code for live Deep Learning classification on embedded systems such as the Nvidia Jetson TX2 Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Computer Hardware and Software Technician
      • Aug 2015 - May 2018

      - Provided comprehensive hardware repair services on Stevens Students and Faculty computers.- Troubleshot local and network issues on Stevens Students and Faculty computers.- Fixed software issues present in a variety of different operating systems

    • Senior Design - Neural Network Security
      • Aug 2016 - May 2017

      Senior Design project through Stevens Institute of Technology that created a revolutionary system that monitors and detects suspicious network activity, such as network spoofing and man-in-the-middle attacks using advanced machine learning algorithms. Our system is be able to monitor GSM packets in order to provide comprehensive user protection. Users can access data from our machine learning algorithms using our front end portal.Developed back end Neural Network framework that trains on collected data and receives inputs to judge whether mobile connection has been compromised. Neural Network uses only signal attributes as inputs, preserving the user's data security, and a training set of 30,000 labeled scenarios. With a validation set of 3,000,000 scenarios, the network only output less than 1% error rate which itself was only contained false positives. I also created the business pitch, promotional content, and website for the project. Show less

    • Text Processing and Neural Network Research
      • Feb 2016 - Dec 2016

      - Implementing large-scale extraction of text data from online news sites- Using Natural Language Processing to extract named entities from text data- Associating positive, negative, or neutral sentiment with extracted named entities- Developing a neural network to correlate numerical data and sentiment extracted from text

    • User Support Services Specialist
      • Jul 2015 - Aug 2015

      Provide support through the Office of User Support Services at Stevens Institute of Technology. Responsibilities included troubleshooting network and software issues for Stevens faculty and students.

    • United States
    • Non-profit Organizations
    • 700 & Above Employee
    • President
      • May 2016 - May 2017

      President of the Stevens Branch of IEEE. Organized meetings, planned events, presented on technical topics including Machine Learning and Quantum computing, and guided the general direction of the professional society while encouraging members to learn and grow. Also redesigned our website to include a cleaner format and calendar integration. President of the Stevens Branch of IEEE. Organized meetings, planned events, presented on technical topics including Machine Learning and Quantum computing, and guided the general direction of the professional society while encouraging members to learn and grow. Also redesigned our website to include a cleaner format and calendar integration.

    • United States
    • Software Development
    • 300 - 400 Employee
    • User Support Co-Op
      • May 2014 - Dec 2014

      - Cooperated with team members to produce web solutions built on the Schoolsuite platform - Implemented state of the art web technologies such as responsive design and jQuery to enhance user experience on the Silverpoint platform - Developed and updated specialized Android and iOS apps - Edited full websites using Dreamweaver and integrated new code into existing projects using Git - Supported client requests through Parature ticketing service - Cooperated with team members to produce web solutions built on the Schoolsuite platform - Implemented state of the art web technologies such as responsive design and jQuery to enhance user experience on the Silverpoint platform - Developed and updated specialized Android and iOS apps - Edited full websites using Dreamweaver and integrated new code into existing projects using Git - Supported client requests through Parature ticketing service

    • PC Lab Assistant
      • Sep 2013 - May 2014

      - Repaired printers and computers, supervising the lab with other assistants. - Delivered and installed computers and parts on campus - Repaired printers and computers, supervising the lab with other assistants. - Delivered and installed computers and parts on campus

Education

  • Stevens Institute of Technology
    Master of Science (M.S.), Computer Engineering
    2017 - 2018
  • Stevens Institute of Technology
    Graduate Certificate in Artificial Intelligence in Engineering Design
    2017 - 2018
  • Stevens Institute of Technology
    Graduate Certificate in Cybersecurity
    2017 - 2018
  • Stevens Institute of Technology
    Bachelor’s Degree, Electrical Engineering
    2013 - 2017
  • Rutherford High School
    2009 - 2013

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