In a pursuit to make a significant impact in the lives of others, I constantly keep trying to build clean, simple, and intelligent software products. Currently pursuing software engineering career path at Discovery Inc. to better my skills as a Software Engineer.
Working on the Server-Side Ad Insertion (SSAI) system responsible for stitching Ads in video streams on the Discovery+ OTT platform.
Technologies and terminologies: Java, Scala, SBT, DASH & HLS protocols, Protocol Buffers, Akka, Play Framework, Microservices, Git
Working with the core platform team responsible for developing software components that sits behind Varian's software products.
Technologies and terminologies: C#, .NET Core, MS-SQL, NServiceBus, Git, RabbitMQ, Azure Services, Angular, Microservices, Azure DevOps, PowerShell, Kubernetes
Developed a tool for identifying dependency hierarchy of software builds in TFS and Teamcity repositories.
Technologies and terminologies: .NET, Angular, Wix Toolset, Docker, TFS, Teamcity
[Internship Completion Letter]
An Android app for generating caption recommendations for the provided photo using Machine Learning. Additional features include exploring, liking, sharing, and copying captions and hashtags.
Android, Java, SQLite, XML, Firebase ML-Kit
A research project for identification of songs from the hum sound using Machine Learning algorithms. A research paper for the same has been published in ‘International Conference on Machine Learning and Information Processing, 2019’ (Springer).
Pyhton, Keras
An Android app for storing and rendering your 3D models in Augmented Reality right on your Android phone.
Android, Java, XML, Google Sceneform SDK
Awarded 5 times at Varian for going the extra mile to achieve the target.
Ranked in top 0.03% programmers worldwide on Codechef.
Gold medalist in Problem Solving track on Hackerrank.
If you like my work and have something cool to collaborate on, hit me up with a direct message or contact me through social sites.