Jogisara Ramachandra Sandesh Bhat

I was involved numerous distinct projects, important among them the following: (a) I designed and implemented a PoC project for Airbus Mobility division using custom controllers in Kubernetes to enable their developers to spin up secure cloud workspace infrastructure (Go) (b) I designing and benchmarked different P2P content distribution mechanisms for aircraft entertainment systems at AERQ (an initiative of Lufthansa Technik and LG) (Go, Python)

I received the EXIST grant, along with S. Brentnall and S. Rasch, for testing the viability of a sport analytics service from sensor data and video analysed using novel deep learning techniques. I was involved in a variety of tasks as the cofounder of the project, but my main responsibilities were: (a) writing firmware for sensors and receivers, (b) conceptualising and developing the web platform, (c) conceptualing and developing the android app, (d) training and deploying the AI models.

I was involved in redesigning the frontend experience, and performed, amongst many, the following key tasks: (a) prototyping design schematics, (b) frontend web development, (c) RSpec tests for layout based bugs, and other responsive feature issues using Selenium.

I analysed, using a neural network, the effects of uncertainties in Parton-distribution function data (PDF) on W Mass uncertainties in the CMS detector of LHC collider.

I worked on the numerical simulation of quantum matter falling into a toy model black hole.