Back to work on OTT 😊

Provides a complete Automation Dashboard to view automation build, test scenario & cases in a beautiful & organized way, which is help to Automation Developers, QA and Management team to track automation progress, upcoming features and all status.

POC to integrate existing Java Selenium automation framework with a React/Node.js dashboard, enabling manual and scheduled Jenkins-triggered automation builds with respective configuration.

Get chance to work on Java-Selenium-TestNG-Cucumber based Automation framework used to automate SmartCircuit UI Application. Major responsibility for Contract Family predata setup feed and related contract cycle development like Contract Family Processing, Consolidation and output data

POC to API Test Automation framework development using JAVA, Selenium, testNg

Understand Telecom Circuit Lifecycle, specially SmartCircuit: Contract Management
Contribute integration of Web Application & bug fixing
RDBMS(Yellowbrick - PL/pgSQL) & C# base ETL Tool (Conductor Desktop) Smart Query design

Provides knowledge and expertise specifically based on smooth playback and subscription based player trick modes.
Directly handling client issues on multiple platforms like Android & iOS 1ft-2ft device, AppleTV, Android STB, Casing playback.

An end-to-end, cloud video platform for the creation, management and delivery of next-generation Pay TV.
Provides a personalized TV experience engaging the customer in the live, on demand and subscription based content.

Selenium Cucumber based Automation framework used to playback validation in WMC PayTV, DTC & MKPlayer SDK

OTT Media Player Development which communicates the web video application with backend media & license server through media player library. Analysis and implementation of new features in OTT application. Investigation of Live, VOD, Catchup and InProgress use cases for enhancement.

Contributed to integration of Chromecast(V3) receiver UI. Cast WMC SDK, UMC SDK and MK player through Google Chromecast-V3/V4 Dongle.

Upgrade WMC SDK as a react base library that provided the interface to play HTM5 video to a client in different browser like Chrome, Edge, Safari, Firefox

APEX is Stenograph’s end-to-end solution designed specifically for the court reporting industry. This is an intelligent ecosystem(APEX) that connects clients and agencies to multiple reporter, videographer, transcriptionist and translator through Stenograph's industry-leading software, CATalyst. This empowers both parties to manage the workflow from a single application. Handling all aspects of a job, from scheduling to billing and everything in between.

This is an another ecosystem(APEX-Admin) that manage, process all clients, agencies, reporters, videographers, transcriptionists and translators operations of APEX system. Handling billings and payments of all third party members of client.

OTT Media Player Development which communicates the web video application with backend media & license server through media player library. Analysis and implementation of new features in OTT application. Investigation of Live, VOD, Catch-up use cases for enhancement.

Integrate Chromecast(V2) receiver UI. Cast WMC & UMC SDK player through Google Chromecast STB.

WMC SDK is a library that provided the interface to play HTM5 video to a client in different browser like Chrome, Internet Explorer & Edge, Safari, Firefox

Unit test case was written using Mocha-Chai framework and successfully cover more than 90% of the whole project.

• Development of BE application to migrate employee data from MS-SQL to MongoDB using Vanilla JavaScript, Node JS, Express, MS-SQL and Mongo.
• Development of REST API base BE application to fetch employee data from MongoDB with different format using Vanilla JavaScript, Node JS, Express and Mongo.
• Development of FE application to show employee information in Web Browser in different aspect using Angular 8 framework with REST API.

• Rest API base Implementation for Web Framework
• Test script integration & testing using Cucumber.js

Rainfall prediction system using ANN and K-means clustering. Processes historical Indian rainfall data (1951-2017) with dual ANN models - ANN-I predicts from same month across years, ANN-II uses previous 5 months.

• Technologies: Python 3.6, MongoDB 4.x, NumPy, Matplotlib
• Architecture: Excel/MongoDB integration, K-means preprocessing, dual ANN models with visualization

JSP-based e-commerce platform with user authentication, cart/wishlist management, dummy payment options, and admin dashboard with ISBN validation.

• Frontend: HTML, CSS, JavaScript • Backend: Java 8, JSP Servlet • Database: Oracle XE
• Server: Apache Tomcat 9.0 with Oracle JDBC Driver integration