Software Engineer
2020 - PRESENTACV 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-learnNIH Research Fellow
2014 - 2020ICON 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, PythonLead Software Developer
2011 - 2012College 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, JavaScriptSenior Software Developer
2009 - 2011Diamond 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, JavaScriptJunior Software Developer
2007 - 2009HealthDataInsights- 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
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
- ACV AuctionsGitHub, Jenkins, Docker, SQL, JavaScript, Python, Pandas, PyTorch, Scikit-learn
- ICON Lab @ Arizona State UniversityAmazon Web Services (AWS), Ruby on Rails (RoR), Ruby, Blender, NeuroML...
- College Loan CorporationMicrosoft SQL Server, C#, ASP.NET, JavaScript
Experience
- Data Science 7 years
- Machine Learning 7 years
- Computational Neuroscience 5 years
- Computer Vision 5 years
- Python 5 years
- Deep Learning 2 years
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
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, RubyLibraries/APIs
Pandas, PyTorch, TensorFlow, Vue.js, jQuery, Keras, NumPy, Scikit-learn, SciPy, MPIOther
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, NeuroMLFrameworks
Ontology Framework, ASP.NET, Ruby on Rails (RoR)Tools
NEURON, Microsoft Power BI, Tableau, Jupyter, PyCharm, VS Code, GitHub, Jenkins, BlenderParadigms
Data Science, WaveletsPlatforms
Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Docker, Linux, MacOS, Windows, KubernetesStorage
Data Validation, Google Cloud, MySQL, Microsoft SQL Server
Education
- Ph.D. in Computational Neuroscience2014 - 2019Arizona State University - Tempe, AZ
- Master's degree in Business Administration and Entrepreneurship2012 - 2014Carnegie Mellon University - Pittsburgh, PA
- Bachelor of Science degree in Psychology2002 - 2007University of Illinois - Champaign, IL
- Bachelor of Science degree in Computer Engineering2002 - 2007University of Illinois - Champaign, IL
