Proud veteran from Montreal Canada, turned computer scientist and passionate about A.I.

Main interests

Deep Reinforcement Learning, control problems, robotic, real-life adventure, challenging my limits, music, laughing until it hurts and perpetually seeking breathtaking views.

Core values

A.I. for good
Humanity first, then computer science. Not the other way around !
Integrity
... without compromise.
Toward excellence
“The greatest danger for most of us is not that our aim is too high and we miss it, but that it is too low and we reach it.” ― Michelangelo
Ethical A.I.
"Poor data, inexplicable code or rushed deployment can easily lead to A.I. systems that are not worth celebrating.” Abhishek Gupta

Goals

  • Develop robust and adaptative algorithms that thrives in adverse condition.
  • Find a way to explain ideas and concepts in the most intuitive way using drawing or funny example.

Skills

Language: I speak French (native tongue) and English. Sometimes in my dream I speak Python code.

Software engineering
Python [ PyTorch, TensorFlow, Numpy, Matplotlib ]
LaTeX [ AMSmath, TikZ/PGF, Beamer, Algorithm2e ]
Shell scripting

Test-Driven-Developement : Pytest, Mock
Continuous Integration: TeamCity
Containerization: Docker, NVIDIA Container
Embedded computing: ROS, NVIDIA Jetson
Project planning & control: YouTrack
Methodology Scrumm and Agile
Parallel/distributed computing: Ray [ RLlib, tune ]
Semantic database: SPARQL, RDF, OWL


Also familiar with C/C++, HTML, CSS, SASS, Java, SQL, PL/SQL
Computer science topic of interest
Deep Reinforcement Learning
Maximum Entropy RL
Optimal control
Mobile robotic
Decision-making under uncertainty
Classical Reinforcement Learning
Probability theory
Combinatorial optimization algorithm
Semantic
Formal verification

History

Present:
  • M.Sc. students at NorLab doing research on robotic control problems subject to adversarial condition.
  • Enjoying every minute of my civilian life with my angel Karen.
Past:

  • B.Sc. with Honors in Computer Science specialized in intelligent system at Université Laval (Sept 2021)
  • Research internship at NorLab on robotic control problem subject to adversarial condition (project SNOW-AutoRally, summer 2021)
  • NSERC 2021 Undergraduate Student Research Award
  • Served with the Canadian army for 12 years:
    • Computer developer in a research cell at Defence Research and Development Canada (1 year)
    • Infantry soldier in the Royal 22e Régiment at Valcartier:
      • RECON platoon patrolman (4 years)
      • Tactical intelligence operator (1 year)
      • 2 combat tours in Afghanistan : Zhari District in 2007 and Panjwai District in 2011
      • 5th Canadian Mechanized Brigade Group shooting competition:
        • pistol (2013): bronze for best shooter, silver for best junior shooter, gold for best team
        • assault rifle (2006): gold for best squad
      • Basic infantry course excellence trophy for best candidate
  • Dedicated ski bum in the 90’s : steep, moguls, backflip, competitive freestyle skiing, …
  • Once upon a time an electric guitar shredder : Satriani, Malmsteen, Vivaldi, Metallica, …
  • Practiced/taught many martial arts over the years : jujitsu, aïkido, kenjutsu, iaïdo, judo, boxe,
  • Self-taught graphic designer with a special interest in compositing and 2D motion graphics.