Steven Kolawole has his technical skillset cuts across Data Science and Software Engineering, with a bias for ML Research these days. His research interests focus on resource-efficient machine learning in terms of computational resources and low-resource/limited labeled data.
He is and has been heavily involved in varieties of ML subfields including ML Engineering, Software Engineering, Data Engineering, Data Science/Analytics, and Cloud Computing.
Steven is also big on knowledge sharing via community mentorship and collective growth, open-source development, meetups facilitation, speakership, technical writing, research, and he gets kicks from helping tech muggles find their feet.
More about the speaker
- ML Collective