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Lebih dari 15 tahun
Firmware Engineer @Lanner Electronics Inc.2021 ~ Sekarang
・
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Dalam satu bulan
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
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
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 ~ Sekarang
・
Android Developer
Dalam satu bulan
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
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
中國科技大學
・
資訊工程科/Computer Science and Information Engineering
Software Engineer @Liteon-IT Liteon Technology Co., Ltd2019 ~ Sekarang
・
Dalam satu bulan
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
Chung Yuan Christian University (CYCU)
・
Electronic Engineering
Past
Firmware Engineer @Xtronics Automotive Electronics2022 ~ 2023
・
Senior Software Engineer
Dalam dua bulan
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
Tidak bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
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 ~ Sekarang
・
Dalam satu bulan
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
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
Lebih dari 15 tahun
國立中正大學 (CCU)
・
通訊工程雲端技術工程師 @中華系統整合2021 ~ 2022
・
專案經理、產品經理、系統分析師
Dalam enam bulan
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
Lebih dari 15 tahun
加拿大皇家大學
・
企業管理系SDET 測試工程師 @TREVI 特雷維科技2023 ~ Sekarang
・
SQA Manager
Dalam satu bulan
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
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 ~ Sekarang
・
資深軟體工程師
Dalam tiga bulan
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
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
靜宜大學
・
資訊工程
Senior Software Engineer @Google2021 ~ Sekarang
・
Senior Software Engineer
Dalam enam bulan
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
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
Tamkang University
・
Aerospace
RFSW Staff Engineer @Universal Scientific Industrial Shanghai Co., Ltd.2014 ~ Sekarang
・
RFSW Staff Engineer
Dalam satu tahun
. 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
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
國立臺灣科技大學 National Taiwan University of Science and Technology
・
Master of Engineering (MEng), Electrical EngineeringPaket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Lebih dari satu tahun
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ Sekarang
Latar Belakang Profesional
Status sekarang
Siswa/Mahasiswa
Tahap pencarian kerja
Profesi
Back-end Engineer
Bidang Pekerjaan
Software
Pengalaman Kerja
Kurang dari satu tahun
Management
Keterampilan
Bahasa
English
・
Profesional
Hindi
・
Bahasa ibu atau Bilingual
Preferensi Pencarian Pekerjaan
Jabatan
Software Development Engineer
Tipe Pekerjaan
Paruh waktu
Lokasi
Bangalore, Karnataka, India
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
PES University
Jurusan
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.