Justas is available for hire

Justas Birgiolas PhD, MBA

Verified Expert in Engineering

Deep Neural Networks Developer

Location

Buffalo, NY, United States

Toptal Member Since

March 31, 2020

Justas recently graduated from a computational neuroscience doctoral 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 works as a software engineer at a rapidly growing, over $1 billion startup.

C#JavaScript SQL Python Python 3 Deep Neural Networks Artificial Intelligence (AI)Machine Learning Statistical Analysis Computer Vision Deep Learning Data Analytics Natural Language Processing (NLP)Windows MySQL CNN Optical Character Recognition RDF

Portfolio

ACV Auctions

GitHub, Jenkins, Docker, SQL, JavaScript, Python, Pandas, Scikit-learn...

ICON Lab @ Arizona State University

Amazon Web Services (AWS), Ruby on Rails (RoR), Ruby, Blender, NeuroML...

College Loan Corporation

Microsoft SQL Server, C#, ASP.NET, JavaScript, REST, Windows...

Experience

Deep Neural Networks - 8 years Machine Learning - 7 years Data Science - 7 years Computational Neuroscience - 5 years Deep Learning - 5 years Convolutional Neural Networks (CNN) - 5 years Python - 5 years Computer Vision - 5 years

Availability

Part-time

Preferred Environment

GitHub, PyCharm, Jupyter, Python, PyTorch, Scikit-learn

The most amazing...

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

Work Experience

Senior Machine Learning Engineer

2020 - PRESENT

ACV Auctions

Created an AI system consisting of audio and image deep neural networks to predict vehicle defects. The system saves over $5 million each year in arbitration claim costs.
Led and mentored a team of five machine learning engineers and provided guidance on artificial intelligence (AI) and machine learning (ML) strategy to upper management.
Handled efforts to upgrade company-wide ML infrastructure, including ML model versioning, GPU inference on Kubernetes, and near-real-time inference.

Technologies: GitHub, Jenkins, Docker, SQL, JavaScript, Python, Pandas, Scikit-learn, Google BigQuery, Kubernetes, Machine Learning Operations (MLOps), Open Neural Network Exchange (ONNX), Redis, MySQL, REST, Django, Ray Tune, Genetic Algorithms, DNN, Convolutional Neural Networks (CNN), Random Forests, XGBoost, Deep Neural Networks, Artificial Intelligence (AI), Machine Learning, Computer Vision, Deep Learning, Data Science, Amazon Web Services (AWS), PyTorch, PostgreSQL, Python 3, Windows, Neural Networks, jQuery, MacOS, Statistical Analysis, NumPy, Linux, SciPy, Image Processing, Digital Signal Processing, Simulations, Full-stack, Vue, Google Cloud, Google Cloud Platform (GCP), Tableau

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, MPI, NEURON, Scikit-learn, TensorFlow, Keras, Python, Deep Neural Networks, Artificial Intelligence (AI), Machine Learning, Computer Vision, Deep Learning, Data Science, Docker, PyTorch, REST, Genetic Algorithms, DNN, Convolutional Neural Networks (CNN), Random Forests, Python 3, Windows, Neural Networks, MacOS, Statistical Analysis, NumPy, Linux, SciPy, RDF, Ontology Framework, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), GPT, Image Processing, Digital Signal Processing, Simulations, Differential Equations, Numerical Methods, Full-stack, Azure, Tableau, Microsoft Power BI

Lead Software Developer

2011 - 2012

College Loan Corporation

Developed predictive models to forecast IT project performance.
Created an IT performance review system and a KPI dashboard.
Led the development team to implement an integrated CRM system.

Technologies: Microsoft SQL Server, C#, ASP.NET, JavaScript, REST, Windows, Statistical Analysis, Full-stack

Senior Software Developer

2009 - 2011

Diamond Resorts International

Mined an issue-tracking system database to assess and uncover software development process bottlenecks.
Presented results to upper management and led 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, REST, Windows, Full-stack

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 to 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, REST, Windows, Full-stack

Experience

Towards Brains in the Cloud: A Biophysically Realistic Computational Model of Olfactory Bulb

I developed predictive models of olfactory neural circuits by synthesizing large unstructured datasets and generated insights into sensory information processing. I also created high-performance software packages to automatically detect and track movements using image processing and computer vision algorithms. In addition, I developed 3D software to visualize and edit complex neural networks. Finally, I 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, RDF, SPARQL, Ruby, C++, Java

Libraries/APIs

Pandas, PyTorch, TensorFlow, Vue, jQuery, Keras, NumPy, Scikit-learn, SciPy, MPI, XGBoost

Other

Computational Neuroscience, Full-stack, Convolutional Neural Networks (CNN), Random Forests, Machine Learning, Computer Vision, Neuroscience, Deep Learning, Data Analytics, Natural Language Processing (NLP), Neural Networks, Deep Neural Networks, Differential Equations, Numerical Methods, Simulations, Artificial Intelligence (AI), Digital Signal Processing, Scraping, Image Processing, Statistical Analysis, GPT, Generative Pre-trained Transformers (GPT), NeuroML, Optimization, Negotiation, Leadership, fMRI, Cognitive Psychology, Microprocessors, FPGA, Software, Google BigQuery, Machine Learning Operations (MLOps), Open Neural Network Exchange (ONNX), Ray Tune, Genetic Algorithms, Supercomputers

Frameworks

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

Tools

NEURON, Microsoft Power BI, Tableau, Jupyter, PyCharm, GitHub, Jenkins, Blender

Paradigms

Data Science, Wavelets, Agile Project Management, REST

Platforms

Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Docker, Linux, MacOS, Windows, Kubernetes, DNN, Visual Studio Code (VS Code)

Storage

Google Cloud, MySQL, Microsoft SQL Server, PostgreSQL, Redis

Education

2014 - 2019

PhD in Computational Neuroscience

Arizona State University - Tempe, AZ, USA

2012 - 2014

Master's Degree in Business Administration and Entrepreneurship

Carnegie Mellon University - Pittsburgh, PA, USA

2002 - 2007

Bachelor of Science Degree in Psychology

University of Illinois - Champaign, IL, USA

2002 - 2007

Bachelor of Science Degree in Computer Engineering

University of Illinois - Champaign, IL, USA

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