CakeResume 找人才

进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of 蕭舜誠-Shawn.
Avatar of 蕭舜誠-Shawn.
Firmware Engineer @Lanner Electronics Inc.
2021 ~ 现在
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
C
ARM
Linux
就职中
正在积极求职中
全职 / 对远端工作有兴趣
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
Avatar of Brian Shih.
Avatar of Brian Shih.
Android/Linux BSP Engineer @興聯科技股份有限公司
2022 ~ 现在
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
C
Kotlin
Swift
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
中國科技大學
資訊工程科/Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
Software Engineer @Liteon-IT Liteon Technology Co., Ltd
2019 ~ 现在
一個月內
C Language
Debugging Skills
Linux
全职 / 对远端工作有兴趣
10 到 15 年
Chung Yuan Christian University (CYCU)
Electronic Engineering
Avatar of Ben Cheng.
Avatar of Ben Cheng.
曾任
Firmware Engineer @Xtronics Automotive Electronics
2022 ~ 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
Embedded Linux
C
Python
待业中
全职 / 对远端工作有兴趣
10 到 15 年
National Taipei University of Technology, Taipei Tech
Industrial Engineering & Management
Avatar of 蘇彥文.
Avatar of 蘇彥文.
副理 @和碩集團_和碩聯合科技股份有限公司
2022 ~ 现在
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
Team Management
JIRA
Confluence
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
15 年以上
國立中正大學 (CCU)
通訊工程
Avatar of the user.
Avatar of the user.
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
半年內
嵌入式系統開發
嵌入式系統
Linux OS
就职中
全职 / 对远端工作有兴趣
15 年以上
加拿大皇家大學
企業管理系
Avatar of the user.
Avatar of the user.
SDET 測試工程師 @TREVI 特雷維科技
2023 ~ 现在
SQA Manager
一個月內
Communication
Wireless Communication
Digital Communication
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taipei University of Technology (台北科大 NTUT)
Bachelor of Electrical Engineering
Avatar of 施啟華 (Scott).
Avatar of 施啟華 (Scott).
產品研發高級工程師 (Software Engineer) @USI環鴻科技
2019 ~ 现在
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
JAVA
中打75-100
英打30/分
就职中
全职 / 对远端工作有兴趣
10 到 15 年
靜宜大學
資訊工程
Avatar of Wendly Li.
Avatar of Wendly Li.
Senior Software Engineer @Google
2021 ~ 现在
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
C
C++
Java
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
10 到 15 年
Tamkang University
Aerospace
Avatar of Kenneth Huang.
Avatar of Kenneth Huang.
RFSW Staff Engineer @Universal Scientific Industrial Shanghai Co., Ltd.
2014 ~ 现在
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
C
C++
JAVA
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
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

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对,并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法,且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
团队合作能力
具有向心力与团队责任感,愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展,有效引领团队采取行动,达成共同目标。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
2021 ~ 现在
Bengaluru, Karnataka, India
专业背景
目前状态
就学中
求职阶段
专业
后端开发人员
产业
软件
工作年资
小於 1 年
管理经历
技能
Predicting
Team Player
Intuitive
Object Oriented Programming
Database Management System
Performance Enhancement
Object Oriented Design
Data Loss Prevention
Selenium Web Driver
Gradient Boosting
语言能力
English
专业
Hindi
母语或双语
求职偏好
希望获得的职位
Software Development Engineer
预期工作模式
兼职
期望的工作地点
Bangalore, Karnataka, India
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
PES University
主修科系
B.Tech Computer Science and Engineering
列印

Mehul Thakral 

[email protected] 

+91-9034575980

Bangalore, IN


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  

Company@2x

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

Company@2x

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

University@2x

Intermediate, 2015 ~ 2017

Mata Kasturi Devi Public School, New Delhi - 90.8%

University@2x

Matriculation, 2011 ~ 2015

St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA

University@2x

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.

简历
个人档案

Mehul Thakral 

[email protected] 

+91-9034575980

Bangalore, IN


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  

Company@2x

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

Company@2x

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

University@2x

Intermediate, 2015 ~ 2017

Mata Kasturi Devi Public School, New Delhi - 90.8%

University@2x

Matriculation, 2011 ~ 2015

St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA

University@2x

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.