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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Mobile App Developer @Apple Inc.2014 ~ Present
・
Lead Infrastructure Engineer
Within two months
Web Services components such as EMR and S3 buckets for cloud computing needs. Wrote new support programs and scripts to increase data storage capacity. Designed and developed scripts for loading and analyzing large datasets from text files. Infrastructure Engineer • IBM JuneAugust 2019 Automated routine tasks using scripting languages to control inventory. Coordinated with vendors for maintenance activities related to hardware and software upgrades. Researched new technologies and solutions to improve existing infrastructure setup. Maintained inventory of IT assets and software licenses in an organized manner. Collaborated with engineers and software developers to sele
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Past
Personal goal pursuit @Career Break2024 ~ Present
・
Senior Mobile App Developer
Within one month
kelvin Learning Jakarta, [email protected] https://www.linkedin.com/in/kelvin-prayitno/ https://github.com/kelvin-learning-ecommerce/flutter_movie An IT professional with 7+ years of professional experiences in Programming with Golang, Java, Kotlin, & Dart. Passion in utilizing Mobile Development Technology by delivering maintainable, clean code, good performance, good User Experience Mobile Application, and Project Management & Presales experience to improve business growth . Has experiences in various industry including Financial Technology, Health, Lifestyle and Digital Banking.` Pengalaman Kerja Personal goal pursuit
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
BINUS University
・
Computer Science
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
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++ programming languages. 工作經歷 Technology Consultant • DXC Technology 六月Present | Taipei, Taiwan Project experiences: * Fubon Life IFRS17 Implementation Project * Bank of Taiwan Hong Kong Branch AML System Implementation Project * Fire Department Special Search and Rescue Team 5G AI Rescue Platform Supervision Project * USI Budget System Implementation
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National United University
・
Information Manager
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
工商心理學Sr. Full Stack Engineer @類神經網路股份有限公司2021 ~ Present
・
資深程式設計師
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering前端工程師 @法商法國巴黎人壽保險股份有限公司台灣分公司2022 ~ Present
・
資深前端工程師、系統分析師、專案經理
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Stony Brook University
・
Technological System Management
Past
Software Engineer @iKala2020 ~ 2023
・
Software Engineer
Within one month
Chiyuang Tseng Chiyuang [email protected] Skills Programming language: Go, Python, C++ Developing tool: Linux, Git, Docker, Kubernetes, Postman Databases: MySQL, Redis, MongoDB, Firestore, BigQuery Cloud: GCP(Kubernetes Engine, BigQuery, CloudSQL, Cloud Storage, Pub/Sub), AWS(SES, SNS) Others: Nginx, ELK stack, RESTful API, Swagger Experience FebDec 2023 Senior Software Engineer, iKala(CDP) OctJan 2023 Software Engineer, iKala(CDP) Designed and implemented an URL shortener for event tracking Designed and implemented IAM module of CDP Responsible for 3rd party API integrations, includes Google Ads, AWS SES&SNS, Newsleopard(email), MAAC(LINE messaging provider), and EVERY8D
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
計算機科學
Software engineer @SingularWings Medical.2019 ~ Present
・
Software Engineer
Within one month
Ray Huang Software engineer Hsinchu, Taiwan As a software engineer with five years of experience in app development, I specialize in Android technologies and applications. ✓ Proficient in both independent development and teamwork. ✓ Experienced in multiple programming languages and systems, including Java, Kotlin, and Flutter, spanning across both Android and iOS platforms. 「The reason people are ordinary is because they cannot surpass themselves.」 #Android technology #Self-learning #Willing to share #Team collaboration #Camping life Specialization Android - Kotlin / Java / Flutter - Android SDK - C++ / JNI - Bluetooth - MVVM
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Kaohsiung Medical University 高雄醫學大學
・
Medical Informatics
Full-Stack Developer @SingaPay2023 ~ Present
・
Front-End / Back-End / Full Stack Web Developer
Within one month
Jakarta, Indonesia Application Developer RedHunter Academy Participate in bootcamp by learning programming languages such as mobile programming languages, java and kotlin and also website programming languages such as php with laravel framework and mysql for backend. JulySeptember 2018 Surabaya, Indonesia Frontend Web Developer ECFM - EACIIT's Cash Flow Management Tool Participate in making a cash flow management website within 3 months during an internship and become a team leader for a front end team with several goals. EducationUniversitas Mercu Buana Marketing Communication AdvertisingSMK Telkom Malang Computer Programming Skills React JS Next JS CodeIgniter Laravel MySQL ...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Universitas Mercu Buana
・
Marketing Communication Advertising
資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
陶俊良 (Tao,Chun-Liang) Taipei, Taiwan Email: [email protected] Phone:I am very sensitive to data and enjoy finding inspiration and ideas from them. I am proficient in machine learning, text analysis, and recommendation systems, EVM blockchain analytics, and currently use Python as my primary programming languages. I am always open to learning new things, such as learning new data structure from blockchain. I am currently very interested in blockchain data and on-chain user segamentation. I was working in digital media, advertising (DSP, SSP, DMP platforms), gaming user analyst, blockchain
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組The Most Lightweight and Effective Recruiting Plan
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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.
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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.