
Raghunandan Palakodety
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Raghunandan Palakodety
Channel-Setup für eCommerce SaaS platform Testing- und Dokumentieren verschiedenen API in Marketplaces
- Current 6 years and 5 months, since Jan 2020
IT-Berater
C-IAM GmbH
1. Development of workflows for cloud based Identity and Access Management software 2. Development of front-end business workflows for using HTML5, Bootstrap, CSS 3. Worked in Agile Environment Technologies Used: Java, NodeJS, TotalJS, Camunda BPMN, MidPoint, PostMan, SSO, Docker, Spring, Spring Boot, Bootstrap, HTML5, jQuery
- 9 months, Apr 2019 - Dec 2019
Softwareentwickler
ConfigCar GmbH
Tasks: Implementation of Image similarity using Deep neural networks 1. Implemented image similarity ranking using VGG 19 19 layer deep neural network 2 .Developed an android application for capturing semantics of traffic signs Technologies Used: Python, Keras, Sci-kit learn, Tensorflow, Java, Android SDK, MySQL
- 3 months, Dec 2016 - Feb 2017
Software Developer
Arvind Internet Limited
1. Developed a content recommendation engine for an e-Commerce portal 2. Computed image subtraction for Clothing images 3. Developed an API for computing Term-frequency and Inverse Document Frequency 4. Computed cosine similarity matrix as a metric 5. Developed Parts-of-Speech (POS) as RESTful API 6. POS model trained on 40000 sentences taken from German Newspapers available as TIGER Corpus Technologies Used: Python, Java, AWS, Sklearn, NumPy, SciPy, Flask API
- 5 months, Nov 2013 - Mar 2014
Werkstudent
SIEMENS
Static Code Analysis of Version Control and maintenance of Team Foundation Server 1. Performed static code analysis to check for memory leaks, dangling pointers 2. Developed Team Foundation Server Build definition files for Nightly Build 3. Worked in an agile environment Technologies Used: C++, PC-Lint, WPF, C#, TFS
Implementation of features for slot machine games and clone games 1. Developed clone games for slot machines (Electronic Gaming Machine) 2. Verification of Game mathematics using Simulation 3. Feature-Implementation, communication with Game-Designer to implement according to Game Design-Document provided Technologies Used: C++, JTAG, Boost Framework
Ausbildung von Raghunandan Palakodety
- 4 years and 3 months, Apr 2012 - Jun 2016
Informatik
Rheinische Friedrich-Wilhelms-Universität Bonn
Master Thesis: Gender Classification using Non-Linear SVM and Random Forest Classifier Information and Communication Management
Sprachen
German
English
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