Applied Scientist
Amazon Prime Air
​May 2017 - Present
Seattle, WA, USA

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Working on autonomous drones for package deliveries.

- Development of Sense-and-Avoid algorithms, modeling
- Sensor data analysis and visualization
- Conception of data collection platforms
- Delivery of timely, testable, reproducible and effective solutions affecting team-level goals
- Supporting business and design decisions through implementation, experimentation, simulation and optimization
- Contributions to engineering specifications
- Reviewer for the Amazon Machine Learning Conference (AMLC)

Key tasks: Sense and Avoid solutions, vehicle autonomy, perception systems, sensor data analysis

Chief Technology Officer (CTO) and Co-Founder
Tallyos
​November 2014 - Present
Metz, France

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Tallyos is a startup company of small size specializing in the R&D and distribution of innovative and affordable mobile time and attendance devices. Its principal product is a time and attendance system based on mobile time clock devices coupled with a web-based dashboard for extensive data processing.

Website: http://www.tallyos.fr

Tallyos has won several awards as an innovative startup and has earned numerous subventions.

I was notably involved in the following tasks:

• Complete software prototyping (Matlab and Java versions)
• Architecture and implementation of the web-based dashboard (HTML, CSS, JavaScript, PHP, MySQL)
  • Web development and database management
  • Time and attendance algorithms
  • Route optimization algorithms using linear programming
  • Big data analysis
  • Testing and validation
• Requirements analysis for the mobile devices
• Technical meetings and presentations with manufacturing firms
• Preparation of visual templates for official communication
• Interviews of potential employees/interns

Senior Graduate Research Assistant
​Aerospace Systems Design Laboratory, Georgia Institute of Technology
​August 2014 - Present
Atlanta, GA, USA

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Collaboration on Micro Autonomous Systems Research (MAST) modular re-configurable system integration and prototyping.

1) Implementation of configurable flight modules on PX4 Autopilot

• Simulation set up through ROS + Gazebo for algorithms development (computer vision)
• Use of VREP or MORSE also considered
• Interfacing the PX4 autopilot with an onboard computer for full autonomous flight
• Landing on a moving target

2) Parametric quadcopter design with additive manufacturing/3D printing capabilities. Used Matlab specifics to optimize a Blade Element Method Theory code estimating thrust for a given propeller. Work resulted in a final code 11 times faster than the original. The code is now fast enough to be reasonably used in large scale computer experiments and design optimization scheme.

Research Scientist Intern
​Amazon Prime Air
​May 2016 - August 2016
Seattle, WA, USA

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​Amazon Prime Air is a future service that will deliver packages up to five pounds in 30 minutes or less using small drones flying under 400 feet and weighing less than 55 pounds.

Worked on:

• Sense and avoid technology
• Automation to enable operation beyond line of sight

Research Scientist Intern
​Amazon Prime Air
​May 2016 - August 2016
Seattle, WA, USA

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Working on Amazon's future delivery system designed to safely get packages into customers' hands in 30 minutes or less using small unmanned aerial vehicles.

Developing, testing, and implementing solutions for the UAV delivery system.

Working hard, having fun, and making history =)

Graduate Research Assistant
​Aerospace Systems Design Laboratory, Georgia Institute of Technology
​January 2013 - August 2014
Atlanta, GA, USA

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EADS (Airbus Group) collaboration about multi-mission modular UAV design using sizing methods and multi domains optimization. Design, simulation, optimization, construction and flight testing of an innovative concept of multi-mission hybrid VTOL (Vertical Take Off and Landing) UAV.

Under the guidance of Dr. Dimitri Mavris

Notably involved:

• Multi-domain optimization including propulsion, aerodynamics, weights and control.
• CAD design
• Design optimization (wings, motorization, actuators and sensors) via modeling
• Stability analysis
• Nonlinear controls using IMU, GPS
• Hardware in the loop real time simulations
• Test bench
• Flight testing
• Manufacturing

Graduate Research Assistant
​Center for Robotics and Intelligent Machines, Georgia Institute of Technology
​August 2012 - January 2013
Atlanta, GA, USA

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Multidisciplinary University Research Initiative (MURI) - High Speed Autonomous Driving

Perception, motion estimation algorithms on the self-driving AutoRally platform. The goal of the project is to achieve high-speed autonomous driving on rally tracks.

Improving Parallel Tracking and Mapping (PTAM) with Fusion of IMU and Vision
Implementation of PTAM on a robotic car.

Borg Lab research group under the guidance of Dr. Frank Dellaert

Notably involved:

• - ROS framework
• - Adaptation of algorithms in C++
• - GUI ground station implementation
• - Tests on the platform

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Website: autorally.github.io/

Vice President
​Club Micro Drones, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE)
​September 2010 - May 2012
Toulouse, France

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2nd place IMAV 2012 indoor challenge

CMD stands for 'Club Micro Drones' which means MAV Club in French (Micro Air Vehicle Club). It is the MAV Club of the Institut Supérieur de l'Aéronautique et de l'Espace (ISAE). By co-leading this club with two of my classmates and friend Houssam ASSANY and Charles-Ivan Chesneau, I had the chance to be in charge of several aspects of the club:

• Management (team of 15 people)
• Finance
• Club communication, visual identity and official documents
• Partnerships and sponsors
• Preparation of international competitions
• MAV design
  • Computer vision
  • Integration
  • AI
• Simulators