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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Full Stack Developer @Banten IT Solutions2016 ~ 2024
・
Full Stack Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Serang Raya
・
Informatics Engineering
Past
Freelance @j172.tw2024 ~ Present
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Within one month
for the 20th International Conference on Information Management (ICIM▶ https://www.linkedin.com/in/jProject Management： ✦Certified ScrumMaster (Scrum Alliance) ✦Certified Scrum Product Owner (Scrum Alliance) Artificial Intelligence (AI)： ✦Microsoft Certified: Azure AI Fundamentals (AIMicrosoft) Microsoft Azure： ✦Microsoft Certified: Microsoft Azure Fundamentals (AZMicrosoft) Google Cloud Skills Boost： ✦Create and Manage Cloud Resources ✦Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud ✦Google Cloud Computing Foundations: Networking ✦Google Cloud Computing Foundations: Infrastructure in Google Cloud ✦Google Cloud Computing Foundations: Cloud Computing Fundamentals Social Media Marketing: ▶Ads - Measurement Certification (Google) ▶Analytics Certification (Google) ▶Analytics
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
・
Depatment of Information Mangement，Group of Information Technology
Past
Mobile App Developer @Apple Inc.2014 ~ Present
・
Lead Infrastructure Engineer
Within two months
MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex datasets in an interactive manner. Created custom scripts to automate the extraction, transformation, and loading of Big Data into distributed systems. Utilized Amazon 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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Past
CTO @Astucorp2022 ~ 2023
・
Within three months
et recherche du contenu au sein du produit - Développement d'une application mobile en React-Native pour IOS/Android sur AWS Amplify/Cloudformation, à destination du grand public - Diverses fonctionnalités liées à une meilleure utilisabilité du produit principal Compétences mises en oeuvre Leadership d’équipe · Gestion d’équipe · Cloud Computing · MongoDB · Feuilles de route stratégiques · Feuille de route de produit · Création de feuilles de route technologiques · Linux · Infrastructure septmars 2022 CTO Sellermania Principales réalisations - Gestion de l'équipe technique (2 développeurs Java, 3 développeurs PHP/Symfony, 1 sysop) - Correction du cluster de stockage de production (8 nœuds
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
IB Formations
・
Gestion de projets
Linux 系統工程師 @美商訊能集思智能科技股份有限公司台灣分公司2023 ~ Present
・
資深系統工程師, 網站可靠性工程師, 資料庫管理師
Within one month
chen-9b812a121/ 工作技能 系統 Linux (CentOS、Ubuntu、RHEL、Kali Linux） Unix and Unix like（e.g. FreeBSD or macOS） Windows Server、Work Station VMware ESXi Server、Xen Server 資料庫 MySQL / MariaDB SQL Server MongoDB Redis Web Apache Nginx IIS Tomcat Cloud AWS Docker GCP Kubernentes DroneCI 監控 Cacti Nagios Kibana 影音直播 Simple-RTMP Server srs 其他技能 辦公室 打字速度 60 字 Office 相關軟體 其他 中文（Native Speaker） 英文（聽說讀寫可
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
元智大學 Yuan Ze University
・
企業管理
Product Manager, Project Manager, Senior Operations Manager
More than one year
builder escalation resolution and client servicing -Responsible for delivery of 16+ Content Products -People Management -Handled integrations of operations for the department after merger with Proptiger.com Software Engineer, Cybage Software Pvt Ltd,Software development - Worked on 3 important projects in short time - 2 projects were based on cloud computing using technologies like Alfresco, Liferay and Solr. - Practised Agile Software development methodology VP Corporate Relations, AIESEC,Responsibility to be on the leadership body of an organization, strategies, membership development, redefining the processes, efficiency management, team building, decision making, conferences, representing AIESEC in Ahmedabad at internal and external
Ready to interview
Full-time / Interested in working remotely
6-10 years
IIT Bombay
・
Industrial Engineering and Operations ResearchIT Support Specialist & Administrator @Sierra Wireless / Semtech2022 ~ Present
・
IT Administrator, IT Analyst, Cyber security, IT Manager
Within two months
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
ITESCIA
・
Cyber securitysoftware engineer @Shopee Singapore2021 ~ Present
・
Software engineer
Within one month
self-developed DPDK based vRG system with BRAS(Broadband Remote Access Server) and for high performance broadband networks - Support 10Gbps and 6Mpps PPPoE network throughput and max to 2000 subscriptors. without hardware offload - Support PPPoE/DHCP/IGMP snooping/SNAT - Support single tag and double tag VLAN 3. Fixed edge computing project - Led an edge computing project by using DPDK to make subscriptor can game on cloud and build cloud service in the local end, it supports several features like mac learning, ARP proxy , and the features in vRG too. Skills RDM...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
・
Software Defined Networking and Network Function Virtualization
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
・
EconomicsProfessional development @Career Break2024 ~ Present
・
IT Infrastructure Manager, IT Support Manager
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
BINUS University
・
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Definition of Reputation Credits
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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
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Leadership
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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.