Arnab Ghosh

Co-Founder

London, England, United Kingdom13 yrs 8 mos experience

Key Highlights

Expert in AI and machine learning applications.
Co-Founder of a collaborative content creation platform.
Researcher in generative models and deep learning.

Stackforce AI infers this person is a SaaS-focused AI and machine learning expert with a strong background in generative models.

Contact

aghosh@x.ai LinkedIn

Skills

Other Skills

AlgorithmsBody LanguageCC++Computer ScienceComputer VisionData AnalysisData StructuresHTMLJavaJavaScriptLaTeXLinuxMachine LearningMatlab

About

Member of Technical Staff at xAI working on Enterprise AI. Previously Co-Founder, CTO of Vybe. With our intuitive, one-click interface, we’re making personalized content creation accessible to everyone. We’re equipping users with the tools to produce stunning, professional-quality content that rivals top influencers, while also creating a space for these stories to be shared and celebrated. This isn’t just about creating content—it’s about reconnecting with our shared humanity. We’re shifting from passive consumption to active collaboration, building communities around our shared creations. The future isn’t single-player or even just multiplayer—it’s a collective symphony of voices and ideas, and with Vybe, you’re invited to join in. Welcome to the future of collaborative creation. Welcome to Vybe. Try it out at:https://app.thevybeapp.com/camera.

Experience

13 yrs 8 mos

Total Experience

1 yr 10 mos

Average Tenure

7 mos

Current Experience

Xai

Member of Technical Staff

Nov 2025 – Present · 7 mos

Vybe

Co-Founder & CTO

May 2023 – Nov 2025 · 2 yrs 6 mos

Snap inc.

Machine Learning Engineer

Mar 2022 – May 2023 · 1 yr 2 mos · London, England, United Kingdom

Arm

Graduate Software Engineer

Jan 2021 – Mar 2022 · 1 yr 2 mos

Adobe

2 roles

Research Intern

Jun 2019 – Sep 2019 · 3 mos · San Francisco Bay Area

Designed an AI based autocomplete tool for creative autocompletes.

Research Intern

Jun 2018 – Sep 2018 · 3 mos · Greater Seattle Area

Designing Generative Models for Image Editing and Generation

Technical university munich

Research Assistant

Jun 2017 – Aug 2017 · 2 mos · Munich Area, Germany

Generative Models on 3D Graphics

University of oxford

Graduate Student

Jan 2017 – Jan 2021 · 4 yrs · Oxford, United Kingdom

My research involves applications of Generative Models based on Deep Learning based approaches to generate Videos

Wecp - we create problems

Research Engineer

Nov 2016 – Dec 2016 · 1 mo · Bengaluru Area, India

Worked on AI techniques that are useful for Automatic Question Generation for assessment based projects and supervised the projects based on AI approaches conducted by the winter interns

Toyota technological institute at chicago (ttic)

Research Assistant

May 2016 – Oct 2016 · 5 mos · Greater Chicago Area

I worked on Deep Learning based Generative Modeling techniques to solve IQ test based questions with applications to video generation and also developed a novel technique of Visual Question Answering based techniques using Dynamic Memory Networks and Dense Captioning system

Adobe

Research Intern

May 2015 – Jul 2015 · 2 mos · Bangalore

Worked majorly in Context Aware Media Analytics . Helped in coming up with a model to estimate the number of hits of a particular Article on the New Yorker magazine based on the user context .
Also developed a model to estimate the activity of the user while the user reads an article on a mobile device .

Carnegie mellon university

Intern

May 2014 – Jul 2014 · 2 mos · Greater Pittsburgh Area

Helped in coming up with a model for allocation of cache and memory bandwidth .
Wrote a series of codes for accessing particular locations of the DRAM cells and reduced the memory Bandwidth as per the requirements .

Tata steel

Intern

May 2013 – Jun 2013 · 1 mo

Android Developer

Indian institute of technology, kanpur

Student

Jun 2012 – Apr 2016 · 3 yrs 10 mos

I was involved in Undergraduate Research while in the Computer Science Department of IIT Kanpur .
My primary interest was in the field of Machine Learning and Deep Learning with a project to learn about the parallel programming we developed a new parallel algorithm for the Boolean Satisfiabilty problem.
I was also part of the SIGML (Special Interest Group in Machine Learning) and the Deep Learning Reading group which held weekly sessions in Machine Learning and Deep Learning.
My undergraduate thesis deals with the automatic generation of IQ test based images which can be used for Video Generation based techniques. It led to a publication in a top tier conference (AAAI)