Samarth Deyagond

I am one of the many awesome engineers behind the awesomeness of Gardener. A fully managed, open sourced Kubernetes as a Service which offers homogenous clusters potentially across any cloud in a way that is customizable and scalable.

Also, I am the maintainer of the open source project called Machine Controller Manager which treats and manages the underlying machines of the cluster like first class citizens of Kubernetes.

Prior to this, I have worked at Hewlett Packard Enterprise where I worked on Software Defined Networks called Plexxi Composable Networking to bring-in disruption in the Data Center Networking with the new - high bandwidth, mesh topology based, SDN stack of HPE Composable Fabric. I was also aligned with Enterprise Solutions Engineering & Reference Architecture with special focus on building Private Cloud on HPE infrastructure along side with exploring Docker, Kubernetes, Cloud-Native Platform. As an active member of HPE University Relations team, I champion campus recruitment for HPE and host the university events.

I have also dealt with Web Development, Machine Learning, Natural Language Processing, Image Processing, Server Platform Software Development, Private Cloud solutions, Virtualization. Besides having a good understanding & execution of Software Development Life Cycle, I am agile in nature.

I also had opportunities to intern at Hewlett Packard Enterprise, Indian Academy of Science, Indian Institute of Science (IISc Bengaluru), Indian Institute of Technology, Ropar, Compiler Tree Technologies and International School for Computer Technology during the course of my technical education.

Did my first open source contribution to gen-crd-api-reference-docs project. A widely used Go tool to generate API documentation for Custom Resource Definitions. I fixed the bug to render the compoud Types name correctly in the documentation by recursively deferencing them. Pull Request is here.

Gita IO - Gita.io is an API adhering to standards of OpenAPI v3.0, to leverage the Gita verses programmatically. The Gita.io API serves the verses in the native Devanagari script along with their transliteration and meaning.

Jarvis - This project is focussed to make an intelligent and interative interface for assistance and automation. It is built with a combination of neural networks, machine learning, human computer interaction techniques, web scraping, etc.

Video Contect Predictor - Deep learning application that employs Convolutional Neural Networks helps to predict the context of the scene to be a 'Happy Moment' or 'Fight and Rage'.

Emotion Detection from Facial Expressions - This application integrated Convolutional Neural Networks with Image Processing, to extract the facial expressions of people in the image and then classify them into different emotions like Anger, Fear, Happiness, Sad, etc.

Prism - A software tool to assist campus recruitment drive by companies

Google Chrome Extension - Google Chrome browser extension to customize the background image.