CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
India
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Sikkim Manipal University
・
Information Technology
Senior Software Engineer @Calsoft2021 ~ 現在
・
Software Engineer / Backend Engineer
三個月內
Vishal Yadav Mumbai, Maharashtra, [email protected] https://www.linkedin.com/in/vishaldv-yadav/ With over 6 years of experience in the software industry, I am a highly accomplished professional specializing in designing and developing enterprise/cloud solutions. My expertise spans across ERP, Fintech, Hotel and Network industries, where I have consistently delivered sophisticated products. What sets me apart is my passion for cutting-edge technologies. Work Experience Senior Software Engineer • Calsoft OctoberPresent | Taipei, Taiwan Working for Cisco, On Dnac Product IAM Service. Developed APIs in
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
University of Mumbai
・
Information Technology
Sr DevOps Engineer @SoftElevation2022 ~ 現在
・
Senior DevOps Engineer
一個月內
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, Shell, Bash
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
Sikkim Manipal University - Distance Education
・
Information Technology
Consultant ll @EY2023 ~ 現在
・
Consultant
兩個月內
on-premises and cloud-based IT asset management, incorporating compliance and security considerations into Discovery implementations. Demonstrated ability to troubleshoot and resolve complex issues related to ServiceNow Discovery implementation, ensuring seamless integration with existing systems and workflows. Streamlined on-premises operations by spearheading the discovery of network, Windows, Linux, firewall, and storage devices. Contributed to efficiency by creating SNMP OID classification records. Implemented a comprehensive Configuration Management Database (CMDB) health dashboard to monitor and analyze the status and performance of IT assets and configurations. Configured Health Inclusion rules for Required, Recommended, Staleness, Duplicate & Orphan to
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Birla Institute of Technology and Science, Pilani
・
Computer Science
SENIOR NETWORK ENGINEER @EXPRESS NETWORK2021 ~ 現在
・
IT support engineer,network enginner,system engineer
半年內
SUNAJUL NIZAM NETWORK ENGINEER Thiruvalla, Kerala, India Strategic professional with 10+ years of experience operating data communications systems and developing business solutions Manages high-quality ICT and Internet solutions and has i-depth knowledge of Cisco hardware and data management. Work Experience SENIOR NETWORK ENGINEER • EXPRESS NETWORK FebruaryPresent 1) Configured, monitored, and maintained routers, switches, firewalls, and load balancer. 2) Identified and resolved network performance issues. 3) Provided technical support for local area networks, wide area networks, virtual private networks and other data communication systems. 4) Developed network security policies to protect against unauthorised access
就職中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
SITD
・
DIPLOMA IN ELECTRONICS AND COMMUNICATION
DevOps Engineer @Bizongo
DevOps Engineer, Site Reliability Engineer
三個月內
Debugging, Staging | Production Website Setup, OS Patching, Shell | Python Scripting, Technical Documentation. Stack : CentOS, Ubuntu, Postfix, NGinx, HAProxy, Apache HTTP Server, Dovecot, MySQL, PostgreSQL, SSL, Pingdom, Nagios, Cobbler, Dell / SuperMicro Servers, IBM SoftLayer, Amazon S3. Tools : Linux CLI, Atlassian JIRA, VIM Editor, Git, Puppet, Flock, HipChat. Linux Administrator @ Softcell : FebruaryApril 2015 Responsibilities : Server Deployment, Customer Support, Troubleshooting, Vendor Coordination, OS Patching, Shell Scripts, Technical Documentation. Stack : CentOS, Ubuntu, Apache HTTP Server, Postfix, PowerMTA, DNS, Axigen Mail Server, PowerDNS, VMWare, Dell Hardware. Tools : Linux CLI, ManageEngine OpManager. Education Bachelor of Computer Applications from
全職 / 暫不考慮遠端工作
6 到 10 年
Tilak Maharashtra University, Pune - India
・
Computer Applications就職中
全職 / 對遠端工作有興趣
6 到 10 年
IILM Academy of Higher Learning
・
Master of Business AdministrationSenior Software Engineer ( OS Development - Android, Linux Kernel ) @Esper2019 ~ 現在
・
Senior Android Engineer
半年內
就職中
全職 / 對遠端工作有興趣
6 到 10 年
Chhattisgarh Swami Vivekanand Technical University, Bhilai
・
Computer Engineering
曾任
Freelance Digital Marketing and Web hosting Expert @Freelance self-employed2017 ~ 現在
・
Digital Marketing Specialist
半年內
Gulam Navi I'm an experienced IT professional with over 15 years in IT Management and Administration. My expertise includes project management, server administration, and digital marketing. Specializing in Linux environments and cloud management, I've successfully deployed projects, managed teams, and ensured data security. New Delhi, Delhi, India Work Experience Freelance Digital Marketing, Web hosting Expert and Trainer • Freelance self-employed NovemberPresent •Digital Marketing Strategy •Content Creation and Marketing •Search Engine Optimization (SEO) •Social Media Management •Email Marketing •Paid Advertising (Facebook Ads, Google Ads) •Analytics and Reporting •Client Relationship Management •Domain, DNS and SSL management Sr
待業中
全職 / 對遠端工作有興趣
10 到 15 年
Guru Govind Singh Indraprashtha University
・
BCA
Software Engineer @411 Locals2022 ~ 現在
・
Senior Software Engineer
半年內
involved in cadences reporting applications, implement A/B test and contribute in optimization process for customer experiences. Payment Integration and Gateway - For company different services, I was involved in various SaaS projects include building customer payment portal, invoice generation, own recurring invoice collection etc. Skills: AWS EC2, Linux, Rest API's, PHP Laravel, HTML/CSS MySQL, Troubleshooting Software Engineer • Kadel Labs NovemberNovember 2022 Bitrix24 CRM Telephony Integration - Led a team in developing a SaaS-based telephony application with end-to-end subscriptions, I was involved in building custom SIP client solution for different PBX - FreePBX, ViciDial
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Geetanjali Institute of Technical Studies, Udaipur
・
Computer Programming最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 現在
專業背景
目前狀態
就學中
求職階段
專業
後端開發人員
產業
軟體
工作年資
小於 1 年
管理經歷
技能
語言能力
English
・
專業
Hindi
・
母語或雙語
求職偏好
希望獲得的職位
Software Development Engineer
預期工作模式
兼職
期望的工作地點
Bangalore, Karnataka, India
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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.