Arnoldas Kurbanovas

lead software engineer at NYS center of excellence in Weather and climate analytics

Education:

Bachelor of Science (B. S.) in Computer Science from the University at Albany (UAlbany), State University of New York (SUNY Albany)

Master of Science (M. S.) in Computer Science from the University at Albany (UAlbany), State University of New York (SUNY Albany)

Main Project/Thesis:

  • Applied machine learning techniques to develop a custom neural network machine learning model that predicts the price for a specific cryptocurrency based on trends and Twitter data sentiment analysis to guide investment decisions

  • Used Numpy in Python to analyze datasets of images

  • Developed a web app using node, JavaScript, and D3 visualization tools to view cryptocurrencies sentiment

Relevant Experience:

Tutored high school and college students in the areas of computer science (data analytics as well as machine learning algorithms and methods) and information technology, including putting systems together, installing operating systems, and managing systems

Taught Logic, Python, Java, Java Script, HTML, CSS, and agile programming techniques via in-person classes and webinars

Front end and back end development:

  • Security mobile and web application for private use in React Native and NodeJS

  • Student Freelancer Marketplace cross-platform mobile application in React Native (CampusPro App)

    • Publicly available via Google Play store and Apple IOS store

Areas of Expertise or Specialties:

  • Data Analytics

  • Hardware Set Up and Maintenance

  • Image Classification

  • Machine Learning

  • Mobile and Web Applications

  • Script Automation

  • Software Engineering

Current Projects:

  • Providing software engineering and data analytic services in the development of software tools to support research and development projects

  • Developing machine learning models, image classification tools, and automated scripts

  • Building/configuring, installing, testing, and maintaining complex systems, mobile and web application software, and system management tools

  • Installing and managing data storage, NVIDIA high-end GPUs, and computer servers in the xCITE lab and the UAlbany Data Center

  • Configuring and maintaining Kubernetes and SLURM computer clusters for production applications and high-speed GPU workloads

  • Mentoring undergraduate students and teaching them machine learning techniques and data analytic tools, while working in an agile programming environment

  • Setting up and supporting a Jupyterhub server integrated with Kubernetes and Docker containers on an Ubuntu cluster

  • Standing up state-of-the-art infrastructure and equipment in technology for the xCITE laboratory, including building HPC and Visualization clusters, workstations, and displays

  • Providing IT technical support for xCITE students and researchers, including environment setup, computer setup, SLURM, and k8s usage guides, as well as showcasing and maintenance of the Science on a Sphere (SoS)

  • Using a Convolutional Neural Network in machine learning to train HRRR meteorological data to develop fly/no-fly prediction models for specific Unmanned Aerial System drones