I am an AI Scientist specializing in computer vision, multimodal models, and generative AI. I currently work as an Applied Scientist at Amazon Berlin, where I develop large-scale AI systems for customer-facing applications including virtual try-on, image translation and Prime Video sports highlights.
I received my PhD in Electrical Engineering from the Doctoral School of Electrical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, under the supervision of Dr. Jean-Marc Odobez in the Perception Group at Idiap Research Institute. During my PhD, I interned at Google and Amazon working on deep learning and computer vision.
I obtained an MSc in Computer Science from the Center for Research in Mathematics (CIMAT), during which I completed a research internship at the LAAS-CNRS, France. Before that, I worked as a software engineer at Intel.
My background spans computer vision, robotics, human–robot interaction, and large-scale production ML systems, and I am particularly excited about emerging AI paradigms such as agentic systems.
I'm interested in computer vision, machine learning, and applications for human-computer interaction.
IEEE/CVF International Conference on Computer Vision, 2021
paper · project page · poster
A new non-autoregressive Transformer architecture to predict 3D human motion and activities.
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
An object pushing policy based using an Hourglass-based CNN architecture.
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
paper · project page · video
A new 3D pose estimation method that relies in residual pose modeling suitable for multi-person scenarios.
IEEE Transactions on Circuits and Systems for Video Technology, 2020 (accepted Nov. 2019)
paper · data · project page
Leveraging lightweight CNN, domain adaptation and knowledge distillation for 2D pose estimation.
IEEE International Conference on Advanced Video and Signal-Based Processing (AVSS), 2018
People detection from top-to-down facing images for security systems.
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Introducing a new CNN architecture for real time pose estimation from synthetic depth images.
IEEE Mexican International Conference on Artificial Intelligence, 2011
Skin color-based searching and face detection with neural networks.
Solving navigation tasks in a 3D FPS game environment for autonomous agents with deep reinforcement learning methods.
When an autonomous drone needs to localize itself in a map, motion models and particle filters come to place to save the day.
Personal notes and summaries on topics I am interested in.