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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Universitas Teknokrat Indonesia
・
Computer Science
資深主任工程師 @長青資訊2017 ~ 现在
・
資深工程師
一個月內
testing package for thorough unit and integration tests to ensure reliability and performance. Database Management: Relational Databases : Skilled in managing MySQL databases, with a focus on optimizing database designs through efficient schema creation. Experienced in enhancing query performance using indexing strategies and ensuring data integrity via comprehensive transaction management mechanisms. NoSQL Databases : Extensive experience with NoSQL databases, especially MongoDB, leveraging its flexible schema for rapid development and scaling. Knowledgeable in utilizing document-oriented storage principles for dynamic content management. Data Modeling & Migration : Expertise in ORM tools like GORM for Go, ensuring seamless data integration and
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
勤益科技大學
・
軟體工程
曾任
Information Desk Receptionist @West Jefferson Medical Center2014 ~ 2017
・
Customer Service Representative
一個月內
Sage Hollingsworth Dedicated professional with almost a decade of experience in providing superior customer service and support within the healthcare industry. Well-versed in scheduling, interaction documentation, and database management functions for streamlined communication. Excels at identifying client needs and concerns to improve overall service. Solid team player with outgoing, positive demeanor and proven skills in establishing rapport with clients. Articulate, energetic and results-oriented with exemplary passion for providing a meaningful impact whenever possibleNew Orleans, Louisiana, USA Sage Hollingsworth | LinkedIn Work History: Escalation Team Specialist Accredo Specialty Pharmacy MarchMarch 2024 • Efficiently processed escalated concerns for
待业中
・
正在积极求职中
全职 / 我只想远端工作
6 到 10 年
Jospeh S. Clark Preparatory
・
*待业中
・
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）
・
Information Management
Technology Consultant @台灣易思資訊科技股份有限公司2019 ~ 2024
・
程式設計師
一個月內
Chia-Wei Yen New Taipei City, Taiwan || [email protected] A dedicated and results-oriented professional with over 10 years of comprehensive experience in database management, analytics, and software development. Proficient in SQL with specialized expertise in ETL processes, data warehousing, and business intelligence solutions. Skilled in leveraging IBM Cognos Planning Analytics (TM1) and Oracle Hyperion Essbase for advanced financial planning and analysis. Possesses strong analytical acumen complemented by proficiency in Python scripting. Demonstrates adaptability by effectively navigating UNIX environments, including AIX and Linux. Currently expanding proficiency by learning JavaScript and C+
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
National United University
・
Information Manager
專案管理師 @統一數網股份有限公司2022 ~ 现在
・
前端工程師、軟體工程師
一個月內
史懷恩 Shih, Hui-En Junior Front-End Engineer Senior Project Manager Taipei City, Taiwan Front-End Web Development : Started programming in December ofProject Management : 5 years of experience, including communicating with various departments, agile software development, document writing, wireframing, and design acceptance. Information Software System Implementation : 2 years of experience, including system sales consulting, system construction, and planning and execution of system integration. Technical Skills Software Development Web Development : HTML, CSS, JavaScript, Express, Node.js, React.js Database Management : MongoDB Version Control : Git, GitHub Project management Agile project management Cross function communication Customer communication
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立中興大學
・
生物學
曾任
Home Caregiver @Self-Employed2019 ~ 2024
・
Data Entry Specialist or Customer Service Representative.
一個月內
both. I assisted with daily activities such as bathing, dressing, meal preparation, medication reminders, and housekeeping. I also had to communicate extensively with Doctors and their staff, Hospital Personnel, Private Health Insurers including Blue Cross and Cigna, Medicare and Social Security in terms of appointments, billing, benefits, medication management and patient care. Now this may part of my life may not seem like much to employers, but this required immense dedication, organization, problem solving with serious consequences should I make a mistake, time management, and good communication skills via phone, text and in person. Skills that
待业中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
15 年以上
Antioch High School
・
HS Diploma曾任
Technical Lead Backend Developer @PT. XL Axiata Tbk2022 ~ 现在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
三個月內
待业中
・
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
State University of Jakarta (Universitas Negeri Jakarta)
・
Teknik Elektro
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
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
University of Pennsylvania
・
Economics
Team Leader @Bosch Global Software Technologies Vietnam2022 ~ 现在
・
一個月內
implemented project components: +Base Service Component: user authentication, device information retrieval, and notifications for critical resource thresholds (CPU, memory, disk space) via MQTT protocol +Common Library: Providing foundational modules (HTTP server/client, MQTT client, configuration parser) for other components can reuse +Database Management: Design and implemented database management component. Provide APIs for user can interact with data +Cloud Adapter: connectivity between device and cloud. ITRAMS_2E MIDDLEWARE -Design & Implementation: Led the end-to-end design and implementation process -Customer Engagement: Discussing with customer about requirement. +Design for database management, config manager
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
Industrial University of Ho Chi Minh City
・
Computer Engineering最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
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
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
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
否
学历
学校
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.