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
曾任
Senior Associate @GreyCampus EduTech2014 ~ 2023
・
Senior Associate
一個月內
to improve database performance and functionality. Designed and developed analytical data structures to support business intelligence and reporting needs. Managed and maintained critical databases to ensure data integrity, availability, and security. Diagnosed and resolved complex system issues using SQL Profiler, improving problem resolution times. Conducted regular database backups and implemented recovery processes to prevent data loss and ensure business continuity. Collaborated with cross-functional teams to integrate database functionality into web applications and portals. Created web-based dashboards and reporting tools for data visualization, aiding decision-making processes. Provided expert consultation on database
待業中
・
正在積極求職中
全職 / 暫不考慮遠端工作
6 到 10 年
Jyothishmathi institute of technology and science
・
M.Tech(VLSI Desin)
Cloud Services Manager @AIA2021 ~ 2022
・
DevOps Engineer, Site Reliability Engineer
一個月內
Boto3, AWS CLI Monitoring & Logging Prometheus , AlertManager Grafana Dashboards, AWS CloudWatch, Azure LogAnalytics Azure Monitor, Kibana, Thanos, Graylog , Opsgenie , Slack Network & Security Istio Service Mesh, SSL and TLS Certs Network Firewalls Ingress & Egress Controllers Routing, TGW and VPC Peering Infra As Code Terraform Terragrunt Go Lang ARM Templates, AWS CloudFormation Database Administration PostgreSQL MongoDB DynamoDB MSSQL Scripting python Scripting Bash & Shall Scripting :: Work Experience:: Skyflow Inc. FebruaryPresent Engineering Lead | SRE A WS | Kubernetes | Argo CD | Istio | Go Lang | GitLabs | Terraform | Terragrant| PGsql Manage the overall design and implementation of secure, scalable, and fault-tolerant infrastructure Managing and Automating Infrastructure
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
Digital Marketing Manager
兩個月內
. Set-up a marketing automation system (CRM + email + Social Media). Ensure marketing message is conveyed clearly and delivered properly to prospects. Strong analytical ability to evaluate end-to-end customer experience across multiple channels. Coordinate and monitor the maintenance, integrity, and security of several databases. Asst. Team Lead - SMM at Sovereign Health Group MarchJun 2018 Developed and implemented marketing analytics and ROI tracking. Set-up a marketing automation system (CRM + email + Social Media). Tracked industry trends and adapted company language to match. Grew monthly unique visitor percentage
待業中
・
正在積極求職中
兼職 / 對遠端工作有興趣
6 到 10 年
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
PGP College of Engineering & Technology
・
Information Technology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
Dehradun Institute Of Technology
・
B.E Information Technology
Consultant ll @EY2023 ~ 現在
・
Consultant
兩個月內
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 filter the CIs included in the dashboard. Worked on 3 C's in CMDB mean which are required to monitor
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
曾任
Learning and Development Lead @MarketStar2023 ~ 現在
・
Training Manager
兩個月內
review. Web development. E-learning development. Senior Learning Development Consultant • ADP MarchApril 2021 Create blueprint of communication and behavioral training tailor-made to enhance the skills of employees handling USA taxation and payroll. Used Litmos LMS to maintain SCORM standards for the content and E-learning database. E-learning content development with Vyond and Storyline and PowerPoint. Senior Training Lead • Tech Mahindra Ltd AugustMarch 2019 Training facilitation scheduling. Mentor Training facilitation team. Learning content development. Billing strategy. Recruitment drives. Training data analysis. Senior Training Specialist • Synchrony JulyMarch 2016
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
10 到 15 年
Nizam Institute of Engineering & Technology
・
Computer Science
Senior Software Engineer @Calsoft2021 ~ 現在
・
Software Engineer / Backend Engineer
三個月內
. Deployed Services Using Kubernetes. Written Unit test for Golang Services. Written Python Script for upgrading services. Software Engineer • Eastern Enterprise AprilSeptember 2021 | Taipei, Taiwan ● Developed Microservices in Golang . ● Developed Rest API For communication Between services with low Latency. ● Used GORM for Database transactions. ● Using Python For Behavioral Testing using behave Framework. ● Written Unitest to ensure software should work as expected. ● Using Docker to run the microservices. ● Used GIT for version control. ● Following Agile Methodology. Software Engineer • Infinitas Technology Pvt.
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 TechnologySenior Partnerships Manager @Boston Institute of Analytics2024 ~ 現在
・
Senior Business Development Executive
一個月內
全職
6 到 10 年
K.I.C Ajoshi Inter College, Jaunpur
・
Higher School Certificate, Correspondence - Arts
Sr. PHP Developer Lead Developer @Byasa Tech Solutions Pvt Ltd2021 ~ 現在
・
Sr. PHP Developer Lead Developer
一個月內
Engine / Cloud SQL . 3. Responsible for managing and driving small teams. 4. Working on multiple projects simultaneously with a team. 5. Writing reusable, testable, and efficient code. 6. Integration of User-Facing Elements Developed with Server-side Logic. 7. Database Design Collaboration and Creating Stored Procedure/ ETL for fast query result set and reports. 8. Working on a large set of Data / Optimizing MySQL Queries. 9. Following Agile Development Methodology. 10. Collaborating with project manager and clients to meet the project
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Viva College
・
BSC IT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.