Software Developer 2
CurrentPresently engaged in the AzureDevops Copilot project, where the primary objective is to completley eliminate the human effort in PR (Pull Request) reviews by analyzing data signals from Pull Requests, Build Logs, Test Suites and about 8 other data signals. The goal is to explore the potential integration of these successful features into internal Microsoft repositories hosted on Azure Devops. Using technologies such Kusto, C#, Bing trained custom LLM Model, Azure AI Search. Prior to this project, I worked on features to allow the users to create PR summary of Github, generate test cases, and expose vulnerabilities in the code using Prompt Engineering, Azure OpenAI APIs, and LLMs. Worked with the Playfab team to enhance user retention by using ML algorithms such as LightGBM classifier. The idea is to allow the Game developers to predict the player churn probability so that our customers such as Unity, and Roblox have the opportunity to keep the player engaged. The customers confirmed that ML solution helps them retain 80% of the players who had a moderate to high probability to churn. Worked on pixel streaming technology to allow users to not only stream games just like a video on youtube but also interact with the game using a keyboard and mouse. Worked on features such as adding a layer to support Virtual networks so that the private preview games/videos of major clients such as Disney could be tested locally, making the system fault-tolerant with supporting fail-fast deployment, and dashboard for the clients so that they could change the certain settings such as scale threshold, frames per second while giving a seamless experience to their customers. using python and PowerShell. https://docs.unrealengine.com/5.1/en-US/pixel-streaming-in-unreal-engine/
