Hi, I'm
Kobby Panford-Quainoo
Research Engineer, Machine Learning|
Passionate about machine learning, deep learning, and AI for social good. Building scalable ML systems and contributing to open-source projects.
About Me
Get to know more about who I am and what I do
A Little About Myself
I'm a Research Engineer in Machine Learning at InstaDeep Ltd, where I work on optimizing and scaling ML platforms, developing data annotation tools, and contributing to AI for Social Good initiatives. My work includes leading open-sourcing efforts and scaling Google's SKAI to GCP.
With a Master's in Mathematical Sciences (Machine Intelligence) from AMMI and experience teaching foundational ML courses, I'm passionate about both advancing the field and sharing knowledge. I've worked on projects ranging from graph neural networks for trade modeling to generative models for drug discovery.
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Driven by a passion for creating exceptional digital experiences and solving complex problems.
Experience
Years of experience building scalable applications and working with cutting-edge technologies.
Interests
Love for design, photography, and exploring new technologies in my free time.
Skills & Technologies
Technologies and tools I work with
Programming Languages
Deep Learning Libraries
Cloud Computing & Tools
Featured Projects
A collection of projects I've worked on
Experience & Education
My professional journey and educational background
Research Engineer, ML
InstaDeep Ltd
- •Working with a team to optimize and scale Deepchain platform with modern tools and technologies
- •Developed and maintain an easy to deploy data annotation tool for SKAI
- •Led the open-sourcing and scaling efforts of Google's SKAI to GCP, optimizing performance by leveraging GPUs and TPUs
- •Contributed to AI for Social Good initiatives, including InstaDeep's early warning system for desert locusts
Tutor
African Masters of Machine Intelligence (AMMI)
- •Taught foundational courses: Mathematics, Programming, Foundations of Machine Learning and Deep Learning
- •Assisted professors teach advanced courses: Kernel Methods, Computer Vision, Reinforcement Learning
Teaching Assistant
Neuromatch Academy
- •Tutored students in the annual virtual Deep Learning School
- •Assisted groups of participating students complete their final projects
Visiting Student & Research Intern
University of Toronto & Vector Institute
- •Advised by Marzyeh Ghassemi (ML for Healthcare group)
- •Built causal graphs from Medical literature and Electronic Health Records
- •Pruned causal edges with a language model that understands causal relationships from medical text
Teaching and Research Assistant
KNUST
- •Assisted professor teach Programming with C++ (I&II) and Introductory Electronics
MSc. Mathematical Sciences (Machine Intelligence)
African Institute for Mathematical Sciences - AMMI
- •Google-Facebook Scholarship (full) - acceptance rate 6%
- •Most (Technical) Supportive student - Certificate of Excellence
BSc. Physics (Major: Electronics)
Kwame Nkrumah University of Science and Technology (KNUST)
- •DAAD Student Travel Award and Research Grant (Germany)
Get In Touch
Have a project in mind or want to collaborate? Let's talk!