Proficient with the modern deep learning ecosystem, GPU-accelerated Python workflows, and high-performance model development.
Experienced in building robust, portable, and reproducible environments for development, research, and production deployment.
Able to design and implement full AI systems from data ingestion to model serving, including monitoring, evaluation, and iteration loops.
Skilled in designing novel architectures for computer vision, multimodal systems, and task-specific research prototypes.
Performance-oriented mindset — from Python optimization to digging into C/C++, kernels, and inference-level execution.
Working on projects and research that drives the SOTA in Bayesian learning and showcases the inhouse technoligies of VERSES.
VERSES AI.Working on projects and research that drives the SOTA in Bayesian learning and showcases the inhouse technoligies of VERSES.
VERSES AI.Helped develop weld categorizers and robotic backend transpilers.
Oqton (now ArcNC)Research project into sensor fusion using Bayesian and deep learning techniques with a focus on application on real robots.
Ghent University