Jogisara Ramachandra Sandesh Bhat
Angestellt, DevOps Engineer, Honeysuckle Gmbh
Leipzig, Deutschland
Über mich
I am one of the founders of Saige Analytics, where I have spearheaded the technological stack of the project involving the development and deployment of the AI and the development of the web platform. If you are interested in the project (personally, as a sports club, or as an investor), please do contact us at support@saigesportanalytics.com I previously worked on particle physics project based on neural networks at CERN, on black hole accretion at CHEP, IISc, and as a web developer at a startup in Leipzig. For any questions, do not hesitate to contact me here.
Werdegang
Berufserfahrung von Jogisara Ramachandra Sandesh Bhat
Bis heute 1 Jahr und 4 Monate, seit März 2023
DevOps Engineer
Honeysuckle Gmbh
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)
Bis heute 4 Jahre und 6 Monate, seit Jan. 2020
Co-Founder (Technical role)
Saige analytics, Universität Leipzig (EXIST)
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.
8 Monate, Juni 2018 - Jan. 2019
Frontend Web Developer
Latius UG
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.
4 Monate, Mai 2011 - Aug. 2011
Research Internship for numerical simulation of black holes
Indian Institute of Science
I worked on the numerical simulation of quantum matter falling into a toy model black hole.
Ausbildung von Jogisara Ramachandra Sandesh Bhat
4 Jahre und 3 Monate, Okt. 2015 - Dez. 2019
Mathematical Physics
Universität Leipzig
Sprachen
Englisch
Muttersprache