I am a generalist with a background in machine learning, software development, and embedded systems. My journey has taken me in the domain of focusing on leading R&D projects and taking ML prototypes from ideas to production to solve real-world problems.
My Ph.D. research focused on applying deep learning models to biomedical signals (EEG and MEG). My industrial experience is split into research and productionisation of ML models and pipelines which entails novel models, speed optimization, validation, modularization of code, and pipeline architectures.
I only preach that the simplest solution and the path of least resistance are the key elements to successfully deploying ML models into production.More...