Nicholas Orlowsky

Software Engineer Intern at FUTO
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Contact Information
us****@****om
(386) 825-5501
Location
Austin, Texas Metropolitan Area

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Alexis Raykhel

Nicholas and I worked together while he was interning at Vrbo doing annotation and analysis work supporting the NLP team in the Data Science organization. He is a quick learner and good listener. We dove deep into jupyter notebooks to learn how to do data analysis with python as well as iterated on annotation projects. This helped him to understand how data science project cycles work and what is needed to keep them running. He could always be counted on to get work done and continuously grow in his role.

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Experience

    • Travel Arrangements
    • 1 - 100 Employee
    • Software Engineer Intern
      • May 2023 - Present

      - Built, maintained, and optimized Gitlab CI pipelines leading to a performance increase of 75% - Improved search order value by 20% by integrating Elasticsearch ingest and search capabilities into a Rust API - Reduced time spent provisioning resources by 90% by using Terraform and Ansible to define infrastructure - Built, maintained, and optimized Gitlab CI pipelines leading to a performance increase of 75% - Improved search order value by 20% by integrating Elasticsearch ingest and search capabilities into a Rust API - Reduced time spent provisioning resources by 90% by using Terraform and Ansible to define infrastructure

    • Contract Software Engineer
      • Oct 2021 - Present

      - Streamlined our previously built back-end infrastructure to be more scalable and secure - Architected and implemented an in-house advertising system - Architected and implemented an in-house live streaming platform used to generate a new revenue stream - Support a Ruby on Rails back-end serving over 20,000 users - Scaled platform from ~600 users (Oct '21) to ~20,000 users (May '22) - Manage our app written in React Native - Oversaw database migration to AWS - Sole software engineer fulfilling duties of a CTO Show less

    • United States
    • Retail
    • 700 & Above Employee
    • Software Engineer Intern
      • May 2022 - Aug 2022

      - Created dependency management system for internal tooling using React, Node, MongoDB, and Github Actions, saving over 500 engineering hours annually - Reduced unnecessary code in Home Depot’s automotive website section, cutting client-side JavaScript by ∼10% - Created dependency management system for internal tooling using React, Node, MongoDB, and Github Actions, saving over 500 engineering hours annually - Reduced unnecessary code in Home Depot’s automotive website section, cutting client-side JavaScript by ∼10%

    • Canada
    • Computer Games
    • 1 - 100 Employee
    • Contract Software Engineer
      • Mar 2021 - Oct 2021

      At ChicksGold, I helped design and implement features on their website and API. I worked with technologies such as Aurelia, Bootstrap, and DevExtreme in the frontend. In the backend, I worked with .NET 5, SQL, and C#. At ChicksGold, I helped design and implement features on their website and API. I worked with technologies such as Aurelia, Bootstrap, and DevExtreme in the frontend. In the backend, I worked with .NET 5, SQL, and C#.

    • United States
    • Financial Services
    • CEO & Founder
      • May 2017 - Apr 2021

      CavCash is a debit-based payment system that I conceptualized and developed, building a company of the same name around it. This involved: - The formation of the corporation - Organizing board meetings - Structuring ownership. -Recruited a team of 5 to help in all aspects of the corporation from management to software development. - Securing $1,100 in seed money in 2018 from a local tech CEO: Jeffrey Palermo - Managing partnerships with companies such as Dwolla and UTM Systems - Ensuring regulatory compliance with AML/BSA to comply with FINCEN Show less

    • Technology, Information and Internet
    • 1 - 100 Employee
    • Highschool Data Science Intern
      • Aug 2019 - Jan 2021

      - Saved $200,000+ in revenue using an NLP model trained with RLHF to filter messages, reducing offsite bookings - Analyzed and labeled 10,000+ training data samples using Python, pandas, NumPy, Appen, and Jupyter notebook - Facilitated implementation of a sentiment analysis NLP model trained using RLHF to judge a property’s quality from the text of reviews, enhancing the value of search ordering by 8 - Saved $200,000+ in revenue using an NLP model trained with RLHF to filter messages, reducing offsite bookings - Analyzed and labeled 10,000+ training data samples using Python, pandas, NumPy, Appen, and Jupyter notebook - Facilitated implementation of a sentiment analysis NLP model trained using RLHF to judge a property’s quality from the text of reviews, enhancing the value of search ordering by 8

Education

  • The University of Texas at Austin
    Bachelor of Science - BS, Computer Science
    2021 - 2025
  • The University of Texas at Austin
    Minor, Business
    2021 - 2025
  • Austin Community College
    2019 - 2020

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