Justas Birgiolas Ph.D., MBA, Machine Learning Developer in Buffalo, NY, United States
Justas Birgiolas Ph.D., MBA

Machine Learning Developer in Buffalo, NY, United States

Member since October 27, 2019
Justas recently graduated from a computational neuroscience Ph.D. program, where he applied computer vision and machine learning methods to build supercomputer models of the brain. Before that, he received an MBA from Carnegie Mellon University. In addition to graduate training, Justas is an experienced full-stack web developer. He currently works as a software engineer at a rapidly growing, $1+ billion startup.
Justas is now available for hire

Portfolio

Experience

Location

Buffalo, NY, United States

Availability

Part-time

Preferred Environment

GitHub, VS Code, PyCharm, Jupyter, C#, JavaScript, Python, PyTorch, Scikit-learn, Keras

The most amazing...

...project I've worked on involved synthesizing data from 100+ scientific papers to build a supercomputer model of the olfactory bulb.

Employment

  • Software Engineer

    2020 - PRESENT
    ACV Auctions
    • Created a PyTorch model of search relevance and deployed it to production as an ONNX microservice.
    • Developed a scikit-learn used car price model and integrated it into company Vue.js web platform UI.
    • Developed an iOS prototype to highlight common problems to vehicle inspectors.
    • Won department hackathon during the second week after starting at the company.
    Technologies: GitHub, Jenkins, Docker, SQL, JavaScript, Python, Pandas, PyTorch, Scikit-learn
  • NIH Research Fellow

    2014 - 2020
    ICON Lab @ Arizona State University
    • Extracted data from 100+ scientific publications and synthesized it into a supercomputer model of the olfactory bulb.
    • Developed an interactive online database of neural cell models and characterized cell and ion channel behavior.
    • Developed super-human level machine vision software to track animal movements from laboratory videos.
    Technologies: Amazon Web Services (AWS), Ruby on Rails (RoR), Ruby, Blender, NeuroML, JavaScript, SPARQL, SQL, AWS, MPI, NEURON, Scikit-learn, TensorFlow, Keras, Python
  • Lead Software Developer

    2011 - 2012
    College Loan Corporation
    • Developed predictive models to forecast IT project performance.
    • Developed IT performance review system and KPI dashboard.
    • Led the development team to implement an integrated CRM system.
    Technologies: Microsoft SQL Server, C#, ASP.NET, JavaScript
  • Senior Software Developer

    2009 - 2011
    Diamond Resorts International
    • Mined issue tracking system database to assess and uncover software development process bottlenecks.
    • Presented results to upper management and lead a pilot project initiative to adopt the agile software development methodology.
    • Developed a responsive web-based interface to streamline the member account upgrade process.
    Technologies: Microsoft SQL Server, C#, ASP.NET, JavaScript
  • Junior Software Developer

    2007 - 2009
    HealthDataInsights
    • Developed a web-based system to automate the review of a large dataset of medical insurance claims for fraudulent or improper activity.
    • Solicited user feedback and incorporated it automate a manual diagnostic code lookup process.
    • Attended a Microsoft developer conference and implemented new coding tools within team projects.
    Technologies: Microsoft SQL Server, C#, ASP.NET, JavaScript

Experience

  • Towards Brains in the Cloud: A Biophysically Realistic Computational Model of Olfactory Bulb (Development)

    Developed predictive models of olfactory neural circuits by synthesizing large unstructured datasets and generated insights into sensory information processing
    Created high-performance software packages to automatically detect and track movements using image processing and computer vision algorithms
    Developed 3D software to visualize and edit complex neural networks
    Identified the most efficient way to evaluate predictive neural cell models by extracting a large dataset and integrating clustering, machine learning, and optimization algorithms

Skills

  • Languages

    Python, JavaScript, C#, SQL, Python 3, R, RDF, SPARQL, Ruby
  • Libraries/APIs

    Pandas, PyTorch, TensorFlow, Vue.js, jQuery, Keras, NumPy, Scikit-learn, SciPy, MPI
  • Other

    Computational Neuroscience, Full-stack, Machine Learning, Computer Vision, Neuroscience, Deep Learning, Predictive Analytics, Data Analytics, Data Reporting, Model Validation, Natural Language Processing (NLP), AWS, Neural Networks, Deep Neural Networks, Differential Equations, Numerical Methods, Simulations, Artificial Intelligence (AI), OCR, Digital Signal Processing, Scraping, Image Processing, Prescriptive Analytics, Statistical Analysis, Semantic Web, NeuroML
  • Frameworks

    Ontology Framework, ASP.NET, Ruby on Rails (RoR)
  • Tools

    NEURON, Microsoft Power BI, Tableau, Jupyter, PyCharm, VS Code, GitHub, Jenkins, Blender
  • Paradigms

    Data Science, Wavelets
  • Platforms

    Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Docker, Linux, MacOS, Windows, Kubernetes
  • Storage

    Data Validation, Google Cloud, MySQL, Microsoft SQL Server

Education

  • Ph.D. in Computational Neuroscience
    2014 - 2019
    Arizona State University - Tempe, AZ
  • Master's degree in Business Administration and Entrepreneurship
    2012 - 2014
    Carnegie Mellon University - Pittsburgh, PA
  • Bachelor of Science degree in Psychology
    2002 - 2007
    University of Illinois - Champaign, IL
  • Bachelor of Science degree in Computer Engineering
    2002 - 2007
    University of Illinois - Champaign, IL

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