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Josh Landsman

Full Stack Developer | Studying at Georgia Institute of Technology

Education

Undergraduate education

Georgia Institute of Technology, Georgia (2020-2024)

Studying Computer Science

Concentrating in Information Internetworks & Intelligence

General education

Randolph High School, NJ (2016-2020)

Independent Study

edX.org CS50 courses

CS50: An entry-level course taught by David J. Malan, CS50x taught how to think algorithmically and solve problems efficiently.
CS50G: Explored principles of 2D and 3D graphics, animation, sound, and collision detection using frameworks like Unity and LÖVE 2D, as well as languages like Lua and C#.
CS50AI: Explored the concepts and algorithms at the foundation of modern artificial intelligence. Topics included: Graph search algorithms, Classification, Optimization, Reinforcement learning, and more.

Work Experience

Software Engineer Intern - Innovation Labs

NCR Corporation (40 hrs/wk) May 2021 - Aug 2021

  • Created a production REST API for NCR’s Global Hackathon to organize international participants, teams, and conference talks using NestJS, Azure, PostgreSQL
  • Designed system for NCR employees to contribute toward future goal achievement of NCR through Brightidea with an Ethereum Blockchain based reward system
  • Co-managed deployment and stability of new NCR website
  • Collaborated in team meetings to shape new innovative use cases for AI, Computer Vision, in NCR’s POS

Game Developer

Lucille Games (50 hrs/wk) April 2020-August 2020

  • Worked with a developer and a quality assurance team to develop and improve existing games on Lucille Games' network.
  • Created a streamlined process to evaluate the functionality of new game features
  • Brainstormed and implemented new systems to create new immersive gameplay experiences.
  • Tested and patched existing bugs due to outdated code.

Software Developer with Tech Entrepreneur

Inventor/Employer: Mr. Munroe Chirnomas (75+ hrs) 2017-2019

  • Developed image recognition software utilizing SIFT, SURF, and ORB algorithms and homography; created a web scraping tool that tested for reactions from different mainstream websites and which also gathered statistics regarding those automated interactions
  • Collaborated with team of software and mechanical engineers working on robotics for specific industrial solutions

Harvard Laboratory Research Intern

Francisco Quintana, Ph.D., Professor of Neurology, Harvard University Medical School/Brigham and Women's Hospital (55 hrs/wk; 3 wks) Summer 2019

  • Applied computer science skills with bioinformatics; exposed to biomedical wet lab and state-of-the-art molecular biology techniques, including single cell sorting and RNAseq; attended research team meetings with postdocs and principal investigator and meetings with invited speakers at hospital; observed process of submission to a research journal
  • Lab focuses on characterizing molecular mechanisms of the immune system with aims of identifying biomarkers and/or new drug targets for immune-mediated disorders

Skills

Languages

    Java
    JavaScript
    NestJS
    TypeScript
    SQL
    Python
    Lua
    HTML/CSS

Coursework

    Object-Oriented Programming
    Data Structures & Algorithms
    Computer Organization and Programming
    Linear Algebra
    Discrete Mathematics

Development/Tools

    API Development
    Web Development
    PostgresSQL
    Firebase
    Google Cloud
    Azure
    Git
    Android Development
    Game Programming

Awards/Achievements

2020

National AP Scholar

AP Capstone Diploma

AP Scholar with Distinction

National Honor Society

National Mathematics Honor Society

Randolph High School's Computer Club Award

Randolph High School's Accounting Award

Principal's Honor Role

2019

AP Scholar with Distinction

AP Seminar and Research Certificate

National Honor Society

National Mathematics Honor Society

Rochkind-Wagner Foundation AP Award in Math and Science

Principal's Honor Role