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Mark Gapasin

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Previous positions

  • College Intern Technical at Northrop Grumman Corporation
  • Aviation Electronics Technician Supervisor at US Navy

Education

University of San Diego, Bachelor of Arts (BA), Computer Science

Background

Summary

“Some people want it to happen, some wish it would happen, others make it happen” – MJ

Experience

  • Software Engineer

    NuVasive

    February 2016 – Present(3 years 8 months)

  • Assisted the Prognostic Health and Management program whose goal is the improvement in reliability and maintainability of the Triton Unmanned Air Vehicles (UAV) being tested for the U.S. Navy. Also worked with various engineers on the Global Hawk program and was counted on to research over 750 failed parts to identify and target assets with multiple failures for closer analysis.

  • Aviation Electronics Technician Supervisor

    US Navy

    March 2008 – February 2013(4 years 11 months)Point Mugu, CA

    A supervisor in a classified radar and communications work center while on board two naval aircraft carriers that was responsible for the repair of critical avionic assembly parts for a squadron of E2-C Hawkeyes during deployment, anti-piracy, and humanitarian operations.

Education

  • University of San Diego

    Bachelor of Arts (BA), Computer Science

    2013 – 2016

    – Object-Oriented Programming – Assembly/Machine Language – Data Structures and Algorithms – Automata/Finite-State Machines – Software Design Patterns – Neural Networks – Digital Hardware –Software Engineering

  • San Diego State University-California State University

    Bachelor of Arts (BA), Applied Arts with Graphic Design Emphasis

Projects

  • Connect Four with Artificial Intelligence – (Java)

    Uses a decision making minimax concept to look at future scenarios. Coupled with a heuristic, program determines board favorability by assigning values to potential board states to decide it’s next move.

    Team Members (1):
    • Mark Gapasin
  • Biometric Recognition – (Java)

    Developed an artificial neural network for biometric recognition of an individual using their external ear which constitutes the most unique design and characteristic features for the purpose of identification. Network can store different angles of the same ear and has the ability to recall the identity of a person if it has been trained to recognize that individual.

    Team Members (1):
    • Mark Gapasin
  • Linux Shell Simulator – (C-Programming)

    Simulates a Linux shell that can execute built-in commands like changing directories or customized commands as a foreground or background process.

    Team Members (1):
    • Mark Gapasin

Skills & Expertise

  • Graphic Design
  • JavaScript
  • CSS
  • Scala
  • C#
  • Object Oriented Programming
  • Selenium Testing
  • Adobe Creative Suite
  • C
  • Front-end Development
  • HTML
  • Web Design
  • Agile Methodologies
  • Java
  • Software Development
  • SQL