Olisemeka Nmarkwe
Machine Learning Engineer · Remote
Olisemeka Nmarkwe is a machine learning engineer at
Codegig
(remote) who focuses on data, training, and deployment. He likes tinkering with robots, drones, VR, NVIDIA Jetsons, and other AI-adjacent tools, and he makes educational content about computer hardware and coding on the side. Currently based in Hammond, Louisiana.
Graduating May 2026 from Southeastern Louisiana University with a CS degree, he is actively seeking Machine Learning Engineer and Computer Vision Engineer opportunities. Download his resume or get in touch.
Skills & Technologies
Technologies I work with
Python
Pandas
Scikit-learn
NumPy
TensorFlow
PyTorch
Google Colab
OpenCV
Flask
Hugo
.NET
Git
Jupyter
Vercel
Featured Projects
NestScope
NestScope detects birds and nests in aerial and drone imagery using lightweight YOLO-style models. Open-source NestScope Public and NestScope Experts repos, plus a CC BY 4.0 dataset on Hugging Face.
SmartPotato
SmartPotato turns everyday PCs into a smart local recorder with natural-language search over your footage. Open source on GitHub; related dataset on Hugging Face.
Paokinator
An AI-powered guessing game API server inspired by Akinator, where users think of an item and the system asks yes/no questions to identify it through machine learning. You can play the game at https://paokinator.olisemeka.dev/.
INFERNO: AI-Powered Fire & Smoke Detection and security System on edge device
INFERNO is a real-time fire, smoke, and motion detection system designed for edge devices. Trained on 160,000 labeled images and optimized for Raspberry Pi, it offers robust performance and rapid alerts without the need for expensive hardware or cloud subscriptions.