{"canonicalUrl":"https://humetric.net/p/profile-01e909886f564ea8bac1dd33b2a06865","profileVersion":"1b79354e-7602-4a35-b564-3579bf5364b3","lastUpdated":"2026-10-19T14:45:38.142722+00:00","profile":{"display_name":"I-HSUAN HUANG","last_updated":"2026-10-19","slug":"profile-f97023ebd5474588","headline":"Software engineer","summary":"Embedded Software Engineer with experience in BMC firmware development, Embedded Linux, and hardware–software integration for server platforms. Skilled in developing reliable embedded solutions, system debugging, and cross-functional collaboration across hardware, BIOS, and validation teams.\nHighly motivated and fast-learning engineer with strong problem-solving abilities and a passion for continuous learning. Able to quickly adapt to new technologies, understand complex systems, and effectively collaborate with team members to deliver high-quality products.","years_experience":1,"skills":["BMC Firmware Development","Board Bring-up","Buildroot","c","c++","communication","Computer Vision","Device Tree","EMA Filtering","Embedded Linux","Firmware Update Mechanisms","Git","GPIO","Hardware-Software Integration","I2C","Jira","Linux","Linux Kernel Modules","Machine Learning","MatLab","MediaPipe","MySQL","Python","Root Cause Analysis","Shell","Shell Scripting","SMBus","SPI","system debugging","time management","UART","UKF Filtering","Unity"],"experiences":[{"id":"9936562e-ce35-43b0-be29-88f20535c57d","person_id":"d1ff6564-c70d-4240-afbf-3ac462d6d3fe","title":"Software engineer","company":"Quanta computer","start_date":"2025/03","end_date":"Present","description":"Develop BMC firmware features on Embedded Linux platforms for remote server management and hardware monitoring.\nConfigure and customize BMC firmware, including Buildroot, Device T ree, Linux kernel modules, and platform initialization for different server boards.\nDevelop and maintain sensor monitoring functions for temperature, voltage, fan speed, power, and other hardware health information using I²C/SMBus communication.\nImplement firmware update functionality including image validation, software upgrade, recovery flow, and version management to improve maintainability and reliability.\nPerform hardware–software integration during board bring-up by validating peripherals, debugging communication interfaces, and resolving compatibility issues.\nDevelop utilities and firmware features in C/C++, Python, and Shell Script for diagnostics, manufacturing support, and feature verification.\nIntegrate and debug peripherals through I²C, SMBus, UAR T, SPI, and GPIO interfaces.\nPerform system-level debugging using kernel logs, boot logs, serial console output, and communication traces to identify root causes.\nCollaborate with hardware, BIOS, validation, and project teams from development through production\nrelease.","position":0}],"educations":[{"id":"e4961568-db35-4dbc-9513-6b044a2c4d4f","person_id":"d1ff6564-c70d-4240-afbf-3ac462d6d3fe","school":"Chang gung university","degree":"Master","field":"Computer science","start_year":2022,"end_year":2025},{"id":"4ed87118-e[contact removed]dfc-397ea8b39bf1","person_id":"d1ff6564-c70d-4240-afbf-3ac462d6d3fe","school":"Chang gung university","degree":"Bachelor","field":"Physical therapy","start_year":2014,"end_year":2018}],"projects":[{"id":"4806d3a7-25a6-478c-9265-5a69ca875312","person_id":"d1ff6564-c70d-4240-afbf-3ac462d6d3fe","name":"Master Thesis – Brain Fitness Exercise System","description":"Developed a home rehabilitation system using MediaPipe and machine learning. Improved pose estimation using EMA and UKF filtering. Designed compensation movement detection with 97% accuracy. Integrated Python computer vision with Unity for real-time motion feedback. Collaborated with industrial design students and industry partners to develop an exhibition-ready prototype.","url":null,"technologies":["MediaPipe","Machine Learning","EMA Filtering","UKF Filtering","Python","Computer Vision","Unity"],"position":0}]},"chunksVersion":"profile-chunks-v4","approvedDiscoveryQueries":[],"evidence":[{"id":"identity:0","type":"identity","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. 1 years experience","fieldKeys":["display_name","headline","years_experience"]},{"id":"summary:0","type":"summary","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Summary / 簡介: Embedded Software Engineer with experience in BMC firmware development, Embedded Linux, and hardware–software integration for server platforms. Skilled in developing reliable embedded solutions, system debugging, and cross-functional collaboration across hardware, BIOS, and validation teams.\nHighly motivated and fast-learning engineer with strong problem-solving abilities and a passion for continuous learning. Able to quickly adapt to new technologies, understand complex systems, and effectively collaborate with team members to deliver high-quality products.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Skills / 技能: BMC Firmware Development, Board Bring-up, Buildroot, c, c++, communication, Computer Vision, Device Tree, EMA Filtering, Embedded Linux, Firmware Update Mechanisms, Git, GPIO, Hardware-Software Integration, I2C, Jira, Linux, Linux Kernel Modules, Machine Learning, MatLab, MediaPipe, MySQL, Python, Root Cause Analysis, Shell, Shell Scripting, SMBus, SPI, system debugging, time management, UART, UKF Filtering, Unity","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Role / 職稱: Software engineer. Experience / 年資: 1 years experience. Expertise / 專長: BMC Firmware Development, Board Bring-up, Buildroot, c, c++, communication, Computer Vision, Device Tree, EMA Filtering, Embedded Linux, Firmware Update Mechanisms, Git","fieldKeys":["display_name","headline","years_experience","skills"]},{"id":"experience:0","type":"experience","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Experience / 經歷: Software engineer at Quanta computer. 2025/03 to Present. Develop BMC firmware features on Embedded Linux platforms for remote server management and hardware monitoring.\nConfigure and customize BMC firmware, including Buildroot, Device T ree, Linux kernel modules, and platform initialization for different server boards.\nDevelop and maintain sensor monitoring functions for temperature, voltage, fan speed, power, and other hardware health information using I²C/SMBus communication.\nImplement firmware update functionality including image validation, software upgrade, recovery flow, and version management to improve maintainability and reliability.\nPerform hardware–software integration during board bring-up by validating peripherals, debugging communication interfaces, and resolving compatibility issues.\nDevelop utilities and firmware features in C/C++, Python, and Shell Script for diagnostics, manufacturing support, and feature verification.\nIntegrate and debug peripherals through I²C, SMBus, UAR T, SPI, and GPIO interfaces.\nPerform system-level debugging using kernel logs, boot logs, serial console output, and communication traces to identify root causes.\nCollaborate with hardware, BIOS, validation, and project teams from development through production\nrelease.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Education / 學歷: Master. Computer science. Chang gung university","fieldKeys":["educations"]},{"id":"education:1","type":"education","ordinal":1,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Education / 學歷: Bachelor. Physical therapy. Chang gung university","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"en","text":"I-HSUAN HUANG. Software engineer. Project / 專案: Master Thesis – Brain Fitness Exercise System. Built with / 使用技術: MediaPipe, Machine Learning, EMA Filtering, UKF Filtering, Python, Computer Vision, Unity. Developed a home rehabilitation system using MediaPipe and machine learning. Improved pose estimation using EMA and UKF filtering. Designed compensation movement detection with 97% accuracy. Integrated Python computer vision with Unity for real-time motion feedback. Collaborated with industrial design students and industry partners to develop an exhibition-ready prototype.","fieldKeys":["projects"]}]}