Home on Milan Stepanov

Skills

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Domains

Academia, Industry, Research, Outsourcing, Luxury, Medical, Audiency Measurement

Technical

Image Processing, Computer Vision, Machine Learning, Deep Learning

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Computer Vision Engineer @ Quividi - 01/2024-07/2024 - Paris, France

Context

In Quividi’s R&D department, I work on AI models for gender classification.

Mon, 01 Jan 0001 00:00:00 +0000

Consultant @ Meritis - 05/2022-01/2024 - Paris, France

Context

At Meritis, I work on assignments for two customers: L’Oréal and Essilor.

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Image Processing Engineer @ Essilor - 03/2023-01/2024 - Creteil, France

Context

I’m involved in the development of software to diagnose, image and measure aspects of the visual system. Software development includes the HMI part, the sensor and the algorithmic part. À the software part, there’s also the mechatronics part and the development of the electronic board, which also require programming, but at a very low level, e.g. firmware.

Mon, 01 Jan 0001 00:00:00 +0000

Data Scientist @ L’Oréal - 01/2023-02/2023 - Remote

Context

At L’Oréal, in the clinical studies team, I’m involved in the development of statistical tools to understand the results of a clinical study.

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Computer Vision Engineer @ L’Oréal - 05/2022-12/2022 - Clichy, France

Context

At L’Oréal, in the Research and Innovation team, I’m taking part in the development of an augmented reality system. This system simulates the application of a colorant to the hair using a camera to detect the hair and a projector to illuminate the hair and a model of the coloring process.

Mon, 01 Jan 0001 00:00:00 +0000

Early-Stage Researcher @ L2S, CentraleSupelec, CNRS, University of Paris-Saclay - 12/2018-02/2024 - Saclay, France

Context

My thesis is part of a European Marie Skłodowska-Curie RealVision project. The aim is to train a new generation of scientists in the field of innovative hyperrealistic imaging technologies. Within the Signals and Systems Laboratory, a joint research unit (UMR 8506) of the CNRS, CentraleSupélec and Université Paris-Saclay, I lead research on learning-based coding for light field imaging.

Mon, 01 Jan 0001 00:00:00 +0000

R&D Engineer @ Protech - 02/2015-11/2018 - Novi Sad, Serbia

Context

I participate in or lead the development of solutions for external customers in the fields of image processing and computer vision.

Objective :

Research and development of image processing and computer vision solutions.
Inter-team presentation of results and communication of results with external customers.
Support for young team members.

Mon, 01 Jan 0001 00:00:00 +0000

Image Processing Intern @ Agfa-Gevaert - 08/2013-08/2014 - Antwerp, Belgium

Context

I participate on the exploration of a generic system for image enhancement in any publishing environment.

Education

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2018‐2022

Doctor of Philosophy in Signal and Image Processing at University Paris‐Saclay, CentraleSupélec

2012‐2014

Master of Science in Electrical and Electronic Engineering at Swiss Federal Institute of Technology Lausanne (EPFL)

About

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I am a Computer Vision Engineer with a PhD from the University of Paris-Saclay, where I specialized in compression of light images using learning-based methodologies. My professional experience spans both traditional image processing methods and cutting-edge machine learning-based solutions, having successfully applied these to real-world challenges in industry. I am passionate about leveraging my technical skills to solve complex visual recognition problems and drive innovation in the field.

Moving forward, my career goal is to continue contributing to impactful projects that push the boundaries of computer vision, while constantly expanding my knowledge and skill set. I am eager to collaborate with talented teams, embrace new technologies, and tackle challenges that further develop my expertise in both academia and industry settings.