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A Mad Scientist, Self-taught Open Source Embedded Software Engineer, and a future critical care physician. The brains behind the Electrostatic-Sandbox SDK.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Electrostat-Lab
Game Developer
June 28, 2026 – Present
AJ-Audio-Engine
July 2, 2025 – Present
AJ Audio Engine is an offline / real-time audio processing engine.
View ProjectAVR-Sandbox
February 1, 2022 – September 15, 2024
Dig deeper into the AVR-WORLD using the 8-bit mcu avr devices on a special shell environment.
View ProjectArithmos
December 21, 2021 – August 6, 2023
Native and jvm algorithmic lib using JNI and Invocation API
View ProjectCross-platform-template
October 24, 2021 – March 14, 2023
A cross-platform template game for jMonkeyEngine providing compatibility for both desktop and android environments.
View Projectjme3-Simple-Examples
April 9, 2021 – May 7, 2022
Module based jMonkeyEngine android examples
View ProjectJmeCarPhysicsTestRPI
January 29, 2021 – December 10, 2021
JmonkeyEngine Test Cases for Raspiberry Pi devices running RaspiOS(Raspibian OS-Debian buster) armv7l/armhf/arm32.
View ProjectJoyStickModule
January 8, 2021 – July 24, 2022
A Java Library to control a Jme Vehicle/CharacterControl/etc w/ an arduino JoyStick module using Pi4J implemented from native WiringPI
View ProjectGame-HCI
November 9, 2020 – May 3, 2024
An Android API housing useful re-usbable Human-computer Interfaces (HCI) in the form of in-game android views with an integration API for jMonkeyEngine.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, especially those involving open-source engines like jMonkeyEngine and hardware interaction, indicate a strong passion for game development and a proactive learning approach. This aligns well with a culture that values self-starters and continuous technical exploration. However, the lack of team-based projects or explicit collaboration experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a strong independent work ethic and technical curiosity.