Luke Lapresi

Software Engineer at Logistic Dynamics, Inc.
  • Claim this Profile
Contact Information
Location
Rochester, New York, United States, US
Languages
  • English Native or bilingual proficiency

Topline Score

Bio

Generated by
Topline AI

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.
You need to have a working account to view this content. Click here to join now

Experience

    • Transportation, Logistics, Supply Chain and Storage
    • 1 - 100 Employee
    • Software Engineer
      • Jun 2020 - Present

      - Lead development of new features and maintenance (bug fixes, etc) to LDI's current products incl. the Freight platform, HelpDesk, and integrations with external services - Kickstarted LDI's upcoming new Freight platform. Took initiative to establish goals for the new platform incl. coding standards, architecture and more - Investigated and resolved technical issues that our Agents are experiencing via. direct correspondence with both them and the LDI Support Team - Lead development of new features and maintenance (bug fixes, etc) to LDI's current products incl. the Freight platform, HelpDesk, and integrations with external services - Kickstarted LDI's upcoming new Freight platform. Took initiative to establish goals for the new platform incl. coding standards, architecture and more - Investigated and resolved technical issues that our Agents are experiencing via. direct correspondence with both them and the LDI Support Team

    • United States
    • Law Practice
    • 700 & Above Employee
    • Full-Stack .NET Developer
      • Jan 2020 - Apr 2020

      - Resolved stalled internal application by consulting with users to create and implement a development plan. - Increased task completion ​throughput by 60%​ by streamlining UX of ​Bootstrap 4​ and ​jQuery​ based front end - Enabled collaboration between users by adding delegation and notification features to ​C#, ASP.NET MVC,ASP.NET Web API ​and ​SQL Server​ based web service. Contract via. New York Technology Partners - Resolved stalled internal application by consulting with users to create and implement a development plan. - Increased task completion ​throughput by 60%​ by streamlining UX of ​Bootstrap 4​ and ​jQuery​ based front end - Enabled collaboration between users by adding delegation and notification features to ​C#, ASP.NET MVC,ASP.NET Web API ​and ​SQL Server​ based web service. Contract via. New York Technology Partners

    • iOS/macOS App Developer
      • Aug 2017 - Dec 2017

      - Spearheaded creation of ​macOS countdown timer app​ after manager felt external offerings were too cumbersome - Successfully executed ​aggressive 3 month development​ schedule by using ​Agile​, ​Kanban ​and ​Test Driven Development​ principles alongside tools including ​Git, GitHub, GitFlow, FogBugz ​and ​XCTest - App promoted from internal to commercial product after manager was impressed with ease of use - Spearheaded creation of ​macOS countdown timer app​ after manager felt external offerings were too cumbersome - Successfully executed ​aggressive 3 month development​ schedule by using ​Agile​, ​Kanban ​and ​Test Driven Development​ principles alongside tools including ​Git, GitHub, GitFlow, FogBugz ​and ​XCTest - App promoted from internal to commercial product after manager was impressed with ease of use

    • United States
    • Research Services
    • 700 & Above Employee
    • Undergraduate Researcher
      • May 2017 - Aug 2017

      - Coordinated experiment to the collect emotional responses of people reading Twitter narratives about jobs - Analyzed 1140 response data-points using machine learning classifier created via. Scikit-learn and Python - Co-authored paper that was accepted for the NAACL 2018 Student Research Workshop (aclweb.org/anthology/N18-4019/) Full-Time Paid Co-Op - Coordinated experiment to the collect emotional responses of people reading Twitter narratives about jobs - Analyzed 1140 response data-points using machine learning classifier created via. Scikit-learn and Python - Co-authored paper that was accepted for the NAACL 2018 Student Research Workshop (aclweb.org/anthology/N18-4019/) Full-Time Paid Co-Op

    • United States
    • Retail
    • 1 - 100 Employee
    • Online Storefront Management
      • Nov 2013 - Jan 2014

      Reduced time needed to update online storefront by 40% by developing tools using C#, WinForms and ASP.NET MVC to track volunteer shifts and automate updating storefront items Reduced time needed to update online storefront by 40% by developing tools using C#, WinForms and ASP.NET MVC to track volunteer shifts and automate updating storefront items

Education

  • Rochester Institute of Technology
    Bachelor of Science (B.S.), New Media Interactive Development
    2015 - 2019

Community

You need to have a working account to view this content. Click here to join now