Oluwaseun Adeyo

I'm a

About

Tensorflow certified Developer with over 3 years of hands-on experience building machine learning models, transforming data science prototypes to production-grade solutions, creating machine learning pipelines in a production environment.

My interest in Data Science began after reading this article on how Germany used Big Data Analytics to win the World Cup. Ever since I have been passionate about using data to solve problems.

I currently work at Seamfix, where I've built and deployed models in the field of Computer Vision ranging from facial matching, image segmentation, image classification and object detection while maintaining the infrastructure for constant retraining and deployment of models. I am currently learning Data engineering.

Skills

Python, C++, Scala
SQL
AWS
Scikit-learn
Tensorflow, Pytorch
OpenCV
Airflow
MLOps

Resume

Summary

Oluwaseun Adeyo

Tensorflow Certified Developer with over 3+ years of experience creating machine learning models, retraining systems on large datasets, and creating machine learning pipelines in a production environment. Familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques.

  • Remote
  • (+234) 09091733043
  • johnadeyo@hotmail.com

Education

Bachelor of Science & Management Information System

2014 - 2018

Covenant University, Nigeria

Relevant Courses: Linear Algebra, Calculus, Statistical Methods, Operation Research, Artificial Intelligence, and Software Engineering.

Professional Experience

Machine Learning Research Engineer

2018 - Present

Seamfix, Lagos, Nigeria

  • Built and deployed an anti-spoofing classifier using Tensorflow
  • Developed and implemented a facial matching solution.
  • Developed a portrait capture validation system in C++ with OpenCV
  • Developed numerous Machine Learning Pipelines for the automated model retraining using Airflow, AWS, DVC, Docker.
  • Re-implement state-of-the- art algorithms published in research papers

Portfolio