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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Software Developer @PERBASI2023 ~ Present
・
Senior Backend Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Teknokrat Indonesia
・
Computer Science
資深主任工程師 @長青資訊2017 ~ Present
・
資深工程師
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
勤益科技大學
・
軟體工程
Past
Information Desk Receptionist @West Jefferson Medical Center2014 ~ 2017
・
Customer Service Representative
Within one month
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
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
Jospeh S. Clark Preparatory
・
*Past
Senior Software Engineer @玉山商業銀行股份有限公司2021 ~ 2023
・
軟體工程師
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
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
Within one month
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+
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National United University
・
Information Manager
專案管理師 @統一數網股份有限公司2022 ~ Present
・
前端工程師、軟體工程師
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中興大學
・
生物學
Past
Home Caregiver @Self-Employed2019 ~ 2024
・
Data Entry Specialist or Customer Service Representative.
Within one month
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
Unemployed
・
Open to opportunities
Full-time / Remote Only
More than 15 years
Antioch High School
・
HS DiplomaPast
Technical Lead Backend Developer @PT. XL Axiata Tbk2022 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within three months
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
State University of Jakarta (Universitas Negeri Jakarta)
・
Teknik Elektro
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
Within two months
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
・
Economics
Team Leader @Bosch Global Software Technologies Vietnam2022 ~ Present
・
Within one month
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Industrial University of Ho Chi Minh City
・
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Adaptability
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More than one year
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ Present
Professional Background
Current status
Studying
Job Search Progress
Professions
Back-end Engineer
Fields of Employment
Software
Work experience
Less than 1 year
Management
Skills
Languages
English
・
Professional
Hindi
・
Native or Bilingual
Job search preferences
Positions
Software Development Engineer
Job types
Part-time
Locations
Bangalore, Karnataka, India
Remote
Interested in working remotely
Freelance
No
Educations
School
PES University
Major
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.