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分部資訊主管 @國防部2023 ~ Present
・
滲透測試、資訊安全、系統開發、程式設計
Within one month
中的資訊任務，包含但不限於使用者電腦重灌，AD 帳號重置，資訊設備維護，資訊機房維護及資安事件處理，期間運用 C# 與 PowerShell 開發自用工具以簡化流程及增加便利性。 ASP.NET 開發工程師及數位鑑識工程師 (ASP.NET programmer and Forensic engineer) 總部資訊部門 ( IT department, Ministry
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
元智大學
・
資訊工程學系
Past
Consultant @Freelance2022 ~ Present
・
Senior Backend Engineer | DevOps | SRE
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
淡江大學 Tamkang University
・
資訊工程Site Relaibility Engineer @Digital Forest Technologies2023 ~ Present
・
SRE /DevOp engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
明新科技大學
・
電子工程學系
系統工程師 @筑波醫電2016 ~ Present
・
資深軟體工程師
Within one month
新技術以適應日新月異的環境，並樂於分享使自己和團隊更進步更有效率。 工作技能 Tech Stack C# C++ C dot-net UWP WinForm HTML5 BootStrap JavaScript PowerShell Design Tools Gitea SourceTree Visual Studio Notion Trello Teams Jenkins Visual Studio Code Raspberry Pi ProgreSQL SQL Server 作品集 https://www.cakeresume.com/me/oldyellow125/portfolios 工作經驗 2016/07 - Now 系統工程師(兼
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
交通大學
・
生醫工程暨資訊工程研究所Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
清雲科技大學
・
資訊工程
Sr DevOps Engineer @SoftElevation2022 ~ Present
・
Senior DevOps Engineer
Within one month
IT Administration -- Management of CRM and Upwork Management -- Management of VMware and Oracle Virtualization OS -- Management of Cpanel, WHM, inhouse redhat and Centos Server -- Management of Opensource Pfsence and Kerio software-based firewall Trainer • Webcom Technologies JuneDecemberTraining Basics of Computers. -- Training Networking and troubleshooting. -- Training Basic of Cli PowerShell and Linux Administration. -- Training the Graphic Designing. Data Operator. Municipal Committee DecemberJuneData Operator in mx-excel -- Make online entries of House taxes EducationSikkim Manipal University - Distance Education Information TechnologyNIIT= DIT Course Diploma in Information Technology Skills Linux Administration, Windows administration. Aws, Gcp, cPanel, IT Operations
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Sikkim Manipal University - Distance Education
・
Information Technology
軟體工程師 @國泰世華銀行2019 ~ Present
・
軟體設計工程師
Within two months
程系, 2008 ~ 2012 技能 Backend (順序為熟悉度) C# .Net Core MSSQL Linq ASP.NET MVC SSRS Python Java Frontend (順序為熟悉度) AngularJS Angular CSS Bootstrap JavaScript Vue TypeScript JQuery DevOps & AutomatingTesting Azure DevOps (TFS) Python Selenium Jmeter Power Shell Other Git Bat SVN Swagger 工作經歷 從2016至今年資約8年，主要使用語言為C#，以往工作為全端工程師，目前任職的公司內擔任，後
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
私立中華大學
・
資訊工程學系(資工所)
助理工程師 @行政法人國家資通安全研究院2023 ~ Present
・
滲透測試、資訊安全、系統開發、程式設計
Within one month
赴美參訪Defcon國際資安研討會 大學三年級，獲選代表軍校生赴美國參訪Defcon國際資安研討會。 技能 Skills Programming C語言 / C++ Python VB Powershell Cyber Security 滲透測試 (KALI) Metasploit Burp Suite Nmap Hydra 惡意程式逆向分析 IDA pro Ghidra GDB x64-Debugger Dnspy 事件處理 威脅情資 封包分析 WiresharK Android APP逆向工程 Jadx 模糊
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學NTUT
・
自動化工程研究所
Site Reliability Engineer
More than one year
move into a Site Reliability Engineering role with more focus on CI/CD and containerization. Systems Engineer Cleveland, OH [email protected] github.com/mgaruccio linkedin.com/in/mgaruccio Skills Platforms Linux Windows VMWare AWS(some familiarity) Azure(some familiarity) Languages Powershell(deep knowledge) Javascript Bash Python(some familiarity) Ruby(some familiarity) Tools vRealize Orchestrator Appveyor Git Docker Kubernetes Experience Systems Engineer - Expedient, JanPresent Served as liaison between automation and service delivery teams. Helped to complete a project which automated a complete delivery process, freeing up engineers to spend time
Open to opportunities
Full-time / Interested in working remotely
6-10 years
副理-程式工程師 @中華開發金融控股股份有限公司(凱基銀行)2022 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
感器信號接收到的信號。 EDUCATION 真理大學(SeptemberJune資訊工程學士學位 Skills Front-end Vue 2.1 Angular RxJS Knockout.Js Javascript Jquery TypeScript Back-end C# ASP.NET Core MS SQL Web api PowerShell SCRUM DevOps CI/CD Automation in TFS User Experience Prototype Spring Planing Database MS SQL server SQLite Server Window Server IDE Visual Studio 2017 Visual Studio 2019 Visual Studio 2022 Visual Studio 2023 Visual Studio code Tools SQL Profiler SQL Server Management Studio Interests Jogging Hiking Workout
Employed
Full-time / Interested in working remotely
6-10 years
真理大學
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Chen LIU
Software Engineer at Microsoft
(+86) 15002933895
(+86) 59165119
Beijing, China
Skills
C/C++
Cosmos/C#/CX/Powershell/SQL
Algorithem/Data Structure/Design Pattern
Creative problem solving
Communication and Collaboration Skills
Education
Xidian University (2011 - 2014)
Master's Degree - Computer Software and Theory
Northwest University (2007 - 2011)
Bachelor's Degree - Computer Science and Technology
Experience
CHS Auto Correction on Mobile Device - Apr. 2014 - Jul. 2014
- A model could "guess" what key user may want to input on mobile device.
- The SIP(software input panel) on mobile is very small and user easily to mistype the key. Auto-Correction model is designed to address this problem.
- To achieve this goal, I set up this model based on some statistics result: the model was built based on TTR statistical data which record the position information of every user's input. Given a target key (a-z) on the SIP, I calculate the probabilities of every surrounding keys. I also give this model some capability of self-adaption to serve people who have different typing behaviour.
- This feature is default on in every windows mobile devices since Windows 10. Our telemetry data shows that this model improves the user's editing behaviour: higher selection rate and input speed, fewer deleting action.
CHS Shape Writing on Mobile Device - Aug. 2014 - Dec. 2014
- Code name "Blue Bird", provide a new input experience. User could swipe the input keys on the SIP to finish the input. It is different with hand writing, shape writing need to swipe all the keys on the Qwerty SIP. A group of people prefer to input via shape writing and they feel input this way could largely improve their typing speed.
- Chinese shape writing is different with Latin shape writing and it's more complex that Latin one. Chinese shape writing could input a word, a phrase and a sentence with only one gesture.
- This is the first version of CHS shape writing, I have no data to support such model. Thus, I build a rule-based model as our V1.0 Shape writing.
The model use Fréchet Distance to calculate the position similarity between user's gesture and standard one. Using cosine-based vector to calculate the shape similarity. Gain the probabilities of each calculated words path, put penalty to each syllable and do some pruning, finally get the ranked best path and phrases as the output to users.
Windows 10 upgrade in China - Dec. 2014 - Oct. 2015
- This is the top priority project in WDGC(Windows Device Group China) at that time. We called up as a virtual team to work together. The goal of this project is: the more devices upgrade to Windows 10 in China, the more we achieved.
- We cooperated with some local influential companies, like Tencent, Qihu360 and Baidu to help to promote the Windows 10. Basically, we provide the core solution and APIs to our partners, and they provide the user experience.
- Besides, we also need the manner to control the whole upgrade process, like enable/disable one partner, allot upgrade quota and online key distribution. To achieve this, I set up a azure cloud service to control the whole upgrade to make it safer and easily control. At last, I need to build a telemetry system in this whole procedure, not only collecting the numbers/categories, but also the dump/log files which could help us analyze the failure.
- This was a challenging project and very different with other projects we experienced. We all learn a lot from it.
Taihang Project - Oct. 2014 - Nov. 2015
- Code name "Taihang" is an updated version of "Kunlun". This is the core component of an IME, data source(DS). The DS is in charge of the conversion from Pinyin letters to Chinese characters.
- Before this project, we have two version of the main DS, one is in mobile and another is in desktop. This increase the maintaining and development cost. "Taihang" project is target to converge the DS from different planform and apply to all SKUs.
- The challenge here is: 1) apply one DS to different input stacks; 2) performance tuning; 3) feature parallel.
TSF2.0 IME stabilization - Dec. 2015 - Apr. 2016
- In this period, I mainly focused on the toughest issues in our products, most of them are performance or compatibility issues. This kind of bugs don't have solid reproduce steps or dump file to help analysis, basically, these came from user's feedback.
- To address them, need to add data points to collect more information, flight the build contained these data point and analysis the collected data to approach the root cause.
- Most of the issues were hidden in the system layer and finally, we addressed the pain points for users.
Live Sticker - Apr. 2016 - Oct. 2016
- Live sticker is a brand new concept to our IME which including the rich content and online service.
- Live Sticker provide to user the ability to input images(GIF, PNG, etc.) based on the context. IME retrieve the context from the edit control and query the online service to get the most popular images associate with the query string, display the result to user and insert into the edit control by clicking the picture.
- Additionally, to minimize the risk of this new thing, I add the cloud control to give us the capability to enable/disable this feature on specific applications.
TSF3.0 IME - Oct. 2016 - Nov. 2017
- TSF(Text Service Frame) is the layer between application, system and IME. Currently, Microsoft Chinese IME are built based on TSF2.0 on desktop and based on TSF2.9 on Mobile (close to TSF3.0, but not exact same). TSF3.0 is the next version of input stack and we are moving to this new framework. Our team is the pioneer on this because of some historical reasons and I was the driver on this project.
- A lot of communication across teams to discuss the design of the API, framework and dependencies, like what's the API surface looks like, how components communicate to each other, what's is the best sequences for each API call, etc. I need to build prototypes and verify different design to identify the potential risk earlier. Design and implement the API, host the IME, deploy it to different SKUs and make it self-hostable. We are currently at this stage.
Bing Advertisement Delivery Engine - Nov. 2017 - Present
- Delivery Engine (DE) is a large scale system including thousands of machines with different roles. It is the core component in the Bing Ads system. It's responsible for select the best ads which fits the user's queries.
- Building the distribution system which have the capability to handle the large amount of queries within quite low latency and stable performance.
- Design and implement advertiser and algorithm feature with high quality.
- Profiling and optimizing the system performance, including the memory, latency and capacity.
- Design and implement the machine function to calculate the relevance between query and keyword as a platform to improve the latency and accuracy.
- Re-architect the "dynamic ads" workflow which doubles the system capacity and reduce the latency.
- Design and implement the "Vertical ads" workflow to provide brand new user experience on Bing ads for Event, Tours and activities scenarios.
Self-Evaluation
- Enjoy learning new things and taking challenge
- Have passion on technology and learn quickly
- Happy to sharing and help others
Chen LIU
Software Engineer at Microsoft
(+86) 15002933895
(+86) 59165119
Beijing, China
Skills
C/C++
Cosmos/C#/CX/Powershell/SQL
Algorithem/Data Structure/Design Pattern
Creative problem solving
Communication and Collaboration Skills
Education
Xidian University (2011 - 2014)
Master's Degree - Computer Software and Theory
Northwest University (2007 - 2011)
Bachelor's Degree - Computer Science and Technology
Experience
CHS Auto Correction on Mobile Device - Apr. 2014 - Jul. 2014
- A model could "guess" what key user may want to input on mobile device.
- The SIP(software input panel) on mobile is very small and user easily to mistype the key. Auto-Correction model is designed to address this problem.
- To achieve this goal, I set up this model based on some statistics result: the model was built based on TTR statistical data which record the position information of every user's input. Given a target key (a-z) on the SIP, I calculate the probabilities of every surrounding keys. I also give this model some capability of self-adaption to serve people who have different typing behaviour.
- This feature is default on in every windows mobile devices since Windows 10. Our telemetry data shows that this model improves the user's editing behaviour: higher selection rate and input speed, fewer deleting action.
CHS Shape Writing on Mobile Device - Aug. 2014 - Dec. 2014
- Code name "Blue Bird", provide a new input experience. User could swipe the input keys on the SIP to finish the input. It is different with hand writing, shape writing need to swipe all the keys on the Qwerty SIP. A group of people prefer to input via shape writing and they feel input this way could largely improve their typing speed.
- Chinese shape writing is different with Latin shape writing and it's more complex that Latin one. Chinese shape writing could input a word, a phrase and a sentence with only one gesture.
- This is the first version of CHS shape writing, I have no data to support such model. Thus, I build a rule-based model as our V1.0 Shape writing.
The model use Fréchet Distance to calculate the position similarity between user's gesture and standard one. Using cosine-based vector to calculate the shape similarity. Gain the probabilities of each calculated words path, put penalty to each syllable and do some pruning, finally get the ranked best path and phrases as the output to users.
Windows 10 upgrade in China - Dec. 2014 - Oct. 2015
- This is the top priority project in WDGC(Windows Device Group China) at that time. We called up as a virtual team to work together. The goal of this project is: the more devices upgrade to Windows 10 in China, the more we achieved.
- We cooperated with some local influential companies, like Tencent, Qihu360 and Baidu to help to promote the Windows 10. Basically, we provide the core solution and APIs to our partners, and they provide the user experience.
- Besides, we also need the manner to control the whole upgrade process, like enable/disable one partner, allot upgrade quota and online key distribution. To achieve this, I set up a azure cloud service to control the whole upgrade to make it safer and easily control. At last, I need to build a telemetry system in this whole procedure, not only collecting the numbers/categories, but also the dump/log files which could help us analyze the failure.
- This was a challenging project and very different with other projects we experienced. We all learn a lot from it.
Taihang Project - Oct. 2014 - Nov. 2015
- Code name "Taihang" is an updated version of "Kunlun". This is the core component of an IME, data source(DS). The DS is in charge of the conversion from Pinyin letters to Chinese characters.
- Before this project, we have two version of the main DS, one is in mobile and another is in desktop. This increase the maintaining and development cost. "Taihang" project is target to converge the DS from different planform and apply to all SKUs.
- The challenge here is: 1) apply one DS to different input stacks; 2) performance tuning; 3) feature parallel.
TSF2.0 IME stabilization - Dec. 2015 - Apr. 2016
- In this period, I mainly focused on the toughest issues in our products, most of them are performance or compatibility issues. This kind of bugs don't have solid reproduce steps or dump file to help analysis, basically, these came from user's feedback.
- To address them, need to add data points to collect more information, flight the build contained these data point and analysis the collected data to approach the root cause.
- Most of the issues were hidden in the system layer and finally, we addressed the pain points for users.
Live Sticker - Apr. 2016 - Oct. 2016
- Live sticker is a brand new concept to our IME which including the rich content and online service.
- Live Sticker provide to user the ability to input images(GIF, PNG, etc.) based on the context. IME retrieve the context from the edit control and query the online service to get the most popular images associate with the query string, display the result to user and insert into the edit control by clicking the picture.
- Additionally, to minimize the risk of this new thing, I add the cloud control to give us the capability to enable/disable this feature on specific applications.
TSF3.0 IME - Oct. 2016 - Nov. 2017
- TSF(Text Service Frame) is the layer between application, system and IME. Currently, Microsoft Chinese IME are built based on TSF2.0 on desktop and based on TSF2.9 on Mobile (close to TSF3.0, but not exact same). TSF3.0 is the next version of input stack and we are moving to this new framework. Our team is the pioneer on this because of some historical reasons and I was the driver on this project.
- A lot of communication across teams to discuss the design of the API, framework and dependencies, like what's the API surface looks like, how components communicate to each other, what's is the best sequences for each API call, etc. I need to build prototypes and verify different design to identify the potential risk earlier. Design and implement the API, host the IME, deploy it to different SKUs and make it self-hostable. We are currently at this stage.
Bing Advertisement Delivery Engine - Nov. 2017 - Present
- Delivery Engine (DE) is a large scale system including thousands of machines with different roles. It is the core component in the Bing Ads system. It's responsible for select the best ads which fits the user's queries.
- Building the distribution system which have the capability to handle the large amount of queries within quite low latency and stable performance.
- Design and implement advertiser and algorithm feature with high quality.
- Profiling and optimizing the system performance, including the memory, latency and capacity.
- Design and implement the machine function to calculate the relevance between query and keyword as a platform to improve the latency and accuracy.
- Re-architect the "dynamic ads" workflow which doubles the system capacity and reduce the latency.
- Design and implement the "Vertical ads" workflow to provide brand new user experience on Bing ads for Event, Tours and activities scenarios.
Self-Evaluation
- Enjoy learning new things and taking challenge
- Have passion on technology and learn quickly
- Happy to sharing and help others