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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
Raghupalreddy Vatti Hyderabad, Telangana, India || [email protected] Experienced professional with expertise in developing and optimizing stored procedures and functions using T-SQL, SQL Server, and MySQL to enhance database performance. Skilled in designing and implementing analytical data structures to support business intelligence and reporting needs. Proficient in managing critical databases to ensure data integrity, availability, and security. Experienced in diagnosing and resolving complex system issues using advanced debugging tools. Strong collaborator with cross-functional teams to integrate database functionality into web applications. Proven ability to create web-based dashboards and
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)
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
VIT-Vellore
・
Computer Science
Staff Engineer @NextGen Healthcare India2019 ~ 現在
・
Senior Software Developer
三個月內
quality bug fixes with a commitment to excellence. • Specialized in designing efficient MSI packages for optimal software deployment. Senior Engineer, Development • Aptean MarchDecember 2019 • Expert in analysing requirements and engineering scalable, robust solutions. • Proficient in crafting clean, efficient code utilizing ASP.Net MVC, C#, and SQL. • Skilled in documenting processes and optimizing system performance. • Committed to continuous learning to remain at the forefront of technology advancements. Senior Software Engineer • CBSI INDIA PVT LTD MayFebruary 2018 • Spearheaded development on Project HP Eclipse utilizing HP ALM, DevExpress, ASP.Net, API, and SQL to
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
North Maharastra University, Jalgaon, Maharastra
・
Computer Science & Engineering
Front End Lead
超過一年
Ramesh Ramalingam Front End Developer/ Lead • [email protected] A full stack developer for 11 years in .Net Technologies & JavaScript frameworks like Angular 4 & 2. Interested in exploring new technologies like No SQL (MongoDB, Cassandra), UI design patterns. Practicing Agile SCRUM & KANBAN for last 5 years. Skills Languages JavaScript with Angular 4, 2 and jQuery, Type Script, Coffee Script, C#, HTML, SQL Frameworks BootStrap, Angular Material, Nancy Fx, Structure Map, Web API, MVC, Jasmine, Karma, nUnit, Gulp, Grunt, Angular Cli, Active MQ Database Mango DB, Cassandra, SQL Server and ElasticSearch Experience Cognizant
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
software engineer @NeoSOFT Technologies (A CMMi Level 5 Organization)2023 ~ 2023
・
Senior Software Engineer
一個月內
vikram gavli Mumbai, Maharashtra, [email protected] A systematic, organized, hardworking team player with an analytical bent of mind; reliable as a fully contributing, responsible & accountable member of task / project teams. Demonstrating technical proficiency in a high paced production environment & exercise judgment within defined procedures & practices to determine appropriate action.. Skills C# ASP.NET MVC5 API Development SQL Server Entity Framework Html, bootstrap, jquery Work Experience software engineer • NeoSOFT Technologies (A CMMi Level 5 Organization) JulyNovember 2023 | Mumbai Jewelry Shop Management System project is a web application which is developed in C
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
NBWS High school
・
commerce
Android Developer @Arachnomesh Pvt Ltd2015 ~ 2017
・
Senior Mobile App Developer
兩個月內
VIPUL THAKUR Email: [email protected] Mobile:Experienced IOS(AVKit)/Android Developer with a demonstrated history of working in the computer software industry. Skilled in Swift, Java, Android Development, Team and Project Management. Strong engineering professional with a Bachelor's degree focused in Computer Science from Manav Rachana International University. South Delhi, New Delhi, Delhi, India Work Experience SDE2 (IOS) • Hotstar JunePresent Disney+ Hotstar is leading the way as the largest and smartest video platform in the country, reaching over 300 million users today. The company has set a number
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
Manav Rachana International University
・
Computer Science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
Senior Software Specialist/SQL Advisor
一個月內
and optimized SQL queries, views, and stored procedures, ensuring efficient data retrieval and manipulation in a multi-database environment. Enhanced existing reports by incorporating new system features and refining data presentation for improved decision-making. Proficient in developing XML Web Services, WCF services, WPF services, and creating/consuming Web APIs to facilitate seamless data exchange between applications. Utilized ADO.NET data objects for consistent access to SQL data sources, including Connection, Command, Data Adapter, Data Reader, Dataset, Data Table, and XML. Managed SQL Server Integration Services (SSIS) and SQL Server Repor...
就職中
全職 / 對遠端工作有興趣
6 到 10 年
Lead Software Engineer @Morningstar India Pvt Ltd2021 ~ 現在
・
Senior Software Engineer
一個月內
Angular 2+, Java, MS-SQL, Azure BIC-RMM : product used for managing measures of various initiatives like HEDIS, MIPS, etc., made using Angular, Java Spring, and MS-SQL. BIC-Framework : product used for submission of measures and getting certified by NCQA made using Angular , Java, and MS-SQL . Updated both web apps to Angular 9 from 4&2, implemented Lazy Loading and GZIP compression configuration through a custom web pack to improve performance. MIPS-Report : created web app from scratch using Angular 7, SSRS Report-Viewer library integrated with Java 8 and MS-SQL mostly
全職 / 對遠端工作有興趣
4 到 6 年
University of Mumbai
・
B.E. Electronics and Telecommunication EngineeringSales Management Executive - Global Private Banking and Transformation @HSBC2022 ~ 現在
・
Business Development, Product Manager, Project Management, Business Operations, Process Design
兩個月內
就職中
全職 / 對遠端工作有興趣
6 到 10 年
Hult International Business School
・
Business Analysis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.