Deepak Gupta

Co-Founder

Dubai, United Arab Emirates8 yrs experience

Key Highlights

Expert in building efficient AI systems.
Proven leadership in data science and AI.
Strong background in machine learning and deep learning.

Stackforce AI infers this person is a leader in AI and data science, focusing on efficient algorithms and machine learning applications.

Contact

Skills

Other Skills

C++Machine LearningPythonDeep LearningTensorflowOptimizationAlgorithmsC#CFinite Element ModelingPetrophysicsEarth ScienceGeophysics

Experience

Amazon lab126

2 roles

Applied Science Manager

Promoted

Aug 2025 – Present · 7 mos · Dubai, United Arab Emirates

Senior Applied Scientist

May 2025 – Aug 2025 · 3 mos · Dubai, United Arab Emirates

Aiq

3 roles

Data Science Manager

Promoted

Sep 2024 – Apr 2025 · 7 mos

Lead Data Scientist

Jun 2023 – Aug 2024 · 1 yr 2 mos

Founding Member | Senior Data Scientist

Jun 2021 – May 2023 · 1 yr 11 mos

Nyun ai

Co-Founder and CEO

Aug 2023 – May 2025 · 1 yr 9 mos

Uit- the arctic university of norway

Associate Professor II

Jul 2022 – Aug 2023 · 1 yr 1 mo · Tromsø, Troms og Finnmark, Norway

Associate Professor II working on efficient deep learning and computer vision problems.

Indian institute of technology (indian school of mines), dhanbad

Adjunct Assistant Professor

Jun 2021 – Apr 2025 · 3 yrs 10 mos · Dhanbad, Jharkhand, India

Focus on building compute- and data-efficient deep learning models for computer vision.

University of amsterdam

Postdoctoral Researcher (Deep Learning/Computer Vision)

Jan 2019 – Jan 2021 · 2 yrs · Amsterdam Area, Netherlands

Shell

Research Scientist (Machine Learning)

Nov 2017 – Jan 2019 · 1 yr 2 mos · Bengaluru Area, India

Developed an unsupervised machine learning based automated event detection techniques to detect energy events in microseismics.

University of sydney

Software Developer

Dec 2012 – Jan 2013 · 1 mo · School of Geosciences, University of Sydney

This project involved adding rotation utilities to GPlates software and processing and interpretation of ASTER data to understand the drifting of northern and southern Australia.

Schlumberger

Machine Learning Intern

Jun 2012 – Jul 2012 · 1 mo · Dehra Dūn Area, India

The internship focused on automated correlation of well logs and identification of lithological features from well data. As a part of this work, the milestones achieved were:
Formulation of a pattern-recognition approach based on sliding window and normalized cross-correlation.
Implementation of the algorithm using C# and Ocean API as a plugin for Petrel software.