Nicholas Kajoh
Software Engineer - Payment Services at Naija Guru
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolNicholas Kajoh is a pragmatic software engineer with 10 years’ experience building resilient payment systems and backend services across fintech firms in Europe and Africa. Currently at Adyen, he works on platform-wide payment routing and ML-driven flagging frameworks that touch every transaction, and previously led tokenization and automation efforts that improved scalability and delivery. At Paystack he shipped card and bank integrations, settlement services, and reliability features that processed millions monthly, while earlier roles focused on API design, dev tooling and test automation. He contributes open-source projects—ranging from computer vision tooling using Python/OpenCV to multilingual "Hello World" examples—and runs Naija Guru, a community and tooling effort for Nigerian Pidgin. Collectedly, his work blends hands-on engineering, developer productivity improvements, and practical ML-assisted payment optimizations.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Covenant University
Stackoverflow
1,511reputation
274kreached
20answers
13questions
Github Skills (23)
opencv10
python10
image-processing10
matlab10
emacs-lisp10
common-lisp10
object-detection10
computer-vision10
vbscript10
ecmascript10
template-matching9
video-processing9
fest7
html6
shell6
Programming languages (10)
Github contributions (5)
nicholaskajoh/ivy
Feb 2019 - Oct 2022
Video-based object counting software.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 review, 145 commits, 22 PRs in 3 years 8 months
Contributions summary:Nicholas primarily contributed to developing and implementing computer vision functionalities using Python and OpenCV. They created and modified several scripts for image processing tasks like drawing on images, loading images, and performing operations such as thresholding, color filtering, and edge detection. Furthermore, the user integrated techniques like template matching and Haar cascades for object detection and also added more complex features such as background subtraction.
video-analysiscomputer-visionobject-detectionobject-counterobject-counting
knightking100/hello-worlds
Oct 2017 - Oct 2017
Yet another collection of Hello World programs
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 commits, 13 PRs in 2 days
Contributions summary:Nicholas contributed "Hello World" programs across a wide variety of programming languages and environments. This involved implementing basic code snippets in languages such as VBScript, MATLAB, AutoLISP, ECMAScript, Common Lisp, Emacs Lisp, GNU Octave, and ABC. The primary focus of the user's work was to demonstrate the fundamental "Hello World" program in different programming contexts, contributing to a broad educational resource.
pythoncpphello-world-programshelloworld-programsyet-another
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