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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Firmware Engineer @Lanner Electronics Inc.2021 ~ 現在
・
Firmware Engineer, Firmware Developer, Embedded Software Engineer
一個月內
SAM4S Cortex-M4 、Arduino 、Teensy4.0) Linux System(Yocto、Ubuntu 、 Raspberry pi4) Linux Shell Script、C programming、Python3 Linux kernel （Yocto) Embedded system(Intel Edison) IoT System Sierra WP7502 wireless IoT module Peripherals Control & Design (Flir lepton thermal camera 、Auto Focus Zoom Module Camera 、5G modem 、HID ModuleEducation 國立高雄科技大學（原國立高雄第一科技大學） Electronic Engineering •Skills Embedded C Programming Embedded Systems FreeRTOS C Programming ARM Linux driver Embedded Linux kernel wireless charger design Logic Design Power designer GIT Peripherals Python STM32 Microcontroller Languages English — Intermediate
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立高雄科技大學（原國立高雄第一科技大學）
・
電子工程
Android/Linux BSP Engineer @興聯科技股份有限公司2022 ~ 現在
・
Android Developer
一個月內
in the team's target. It'll be pretty great for me, and also make me feel excited. https://makeda.breadcrumbs.tw 工作經歷 Developer • 興聯科技 OctNow 1. Support APP and MCU team debug. 2. Maintain Linux drivers 3. Maintain the setting of AOSP. 4. Rework Makefile to fit libraries. 5. Vehicle information parsing from the OBD interface 6. Implement GPS HAL function 7. Move all of the AOSP projects into git and maintain. 8. Using Docker
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
中國科技大學
・
資訊工程科/Computer Science and Information Engineering
全職 / 對遠端工作有興趣
10 到 15 年
Chung Yuan Christian University (CYCU)
・
Electronic Engineering
曾任
Firmware Engineer @Xtronics Automotive Electronics2022 ~ 2023
・
Senior Software Engineer
兩個月內
of 5G technology, AT commands and the operation of Anrich's 5G comprehensive test instruments to ensure a high-efficiency and high-quality test process; 2. i.MX6 processor research and development: For the SOC chips used in the above products, we conduct research and development on uboot, Linux drivers, system transplantation and functional test programs. 3. CDC (intelligent cockpit): Participate in the development and maintenance of SAIC CDC production line software. This includes software development and maintenance related to CDC products to ensure the normal operation of the products. This requires proficiency in
待業中
全職 / 對遠端工作有興趣
10 到 15 年
National Taipei University of Technology, Taipei Tech
・
Industrial Engineering & Management
副理 @和碩集團_和碩聯合科技股份有限公司2022 ~ 現在
・
一個月內
定專案流程以及進度追蹤 跨部門溝通協調以及資源整合 問題追蹤處理(Issue tracking) 新技術/市場研究 系統整合 [BSP/Driver] Kernel Bootloader Peripheral Driver Diagnostics SW Middleware Porting [Connectivity] WiFib/g/n/ac/ax/6E BT/LE 5G NR Zigbee LoRa/LoRaWAN Sigfox NFC RESTful API MQTT Websocket 軟體開發 Git/SVN/CVS C/C++ Python Linux FreeRTOS FastAPI
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
15 年以上
國立中正大學 (CCU)
・
通訊工程就職中
全職 / 對遠端工作有興趣
15 年以上
加拿大皇家大學
・
企業管理系就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taipei University of Technology (台北科大 NTUT)
・
Bachelor of Electrical Engineering
產品研發高級工程師 (Software Engineer) @USI環鴻科技2019 ~ 現在
・
資深軟體工程師
三個月內
device, and Android app. The Raspberry Pi as a master device, an Android app to control the Lora device. 2. Developing a research project it is using NXP i.MX8M SoC, co-working with hardware team members. Include hardware schematic review, hardware debugging, UBoot developing, Linux firmware developing, App developing use QT5, and Porting driver. 3. Porting Realtek WiFi/BT combo driver using RTL8822BU. 4. Add a new feature on the customer android app, catch x and y coordinates when touched, and show on the app. 5. Developin
就職中
全職 / 對遠端工作有興趣
10 到 15 年
靜宜大學
・
資訊工程
Senior Software Engineer @Google2021 ~ 現在
・
Senior Software Engineer
半年內
Wendly Li Language: C/C++, Java, Python, Go, Rust Windows system, Linux system, Linux driver programming Android framework and Android App programming MCU, RTOS, and DSP programming New Taipei City, Taiwan Working Experience NovNow Software Engineer Google JulSep 2021 Senior Software Engineer Flo Technologies, inc. Embedded Linux Familiar with TI am335x, BeagleBone and Yocto Integrated mender with u-boot. Initialized hardware at the earlier stage Ported lcd driver to u-boot. Familiar with tilcdc driver Implemented driver for flow sensor, PT sensor and tri-color leds Familiar with Sysvinit, Systemd, dbus Implemented HAL, daemons
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
10 到 15 年
Tamkang University
・
Aerospace
RFSW Staff Engineer @Universal Scientific Industrial Shanghai Co., Ltd.2014 ~ 現在
・
RFSW Staff Engineer
一年內
. Android BSP Kernel Driver *. Android Framework/JNI *. Battery/Modem Thermal Management *. LCD/Blutooth Driver porting *. MSP430 MCU Control (Firmware Integration) ● Windows OS Related(Qualcomm/11 ~ 2019/11) *. Windows Mobile OS: WE8H, WIN10, WoS *. Windows KMDF/UMDF Driver *. Windows Modem WMRIL Driver *. Windows RF Driver Development *. Windows Power Management Analysis *. LCD/Touch Panel Driver Porting *. Windows on ARM(Snapdragon) *. Debug Tools: WINDBG/ETW/WPP Trace/Field Medic ● Qualcomm Solution 2G/3G/4G Platform: MSM8974
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立臺灣科技大學 National Taiwan University of Science and Technology
・
Master of Engineering (MEng), Electrical Engineering最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 現在
專業背景
目前狀態
就學中
求職階段
專業
後端開發人員
產業
軟體
工作年資
小於 1 年
管理經歷
技能
語言能力
English
・
專業
Hindi
・
母語或雙語
求職偏好
希望獲得的職位
Software Development Engineer
預期工作模式
兼職
期望的工作地點
Bangalore, Karnataka, India
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
PES University
主修科系
B.Tech Computer Science and Engineering
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.