Looking for a job

Samuel Okon

@samuelokon1

Message

I build AI agents, ML systems, and automation pipelines that turn real-world workflows into production-ready services.

Nigeria

Message

What I'm looking for

I'm looking to build production-ready AI agents, LLM automations, and machine-learning systems that solve real business problems while continuing to grow across cloud deployment, MLOps, and intelligent workflows.

I'm building AI-driven systems that connect LLMs, APIs, real-time data, and cloud infrastructure into practical business workflows.

At Sartor Limited, I led the MVP development of a Covert Label Generator for counterfeit detection, combining deep learning and blockchain for secure product authentication. I also built scalable APIs and AI inference pipelines that reduced response latency by 40%.

Previously, I developed object-detection and redaction models at Zimmerman B.V., achieving 92% accuracy, and improved a Global Fund machine-learning model by 30%. I've also automated model deployment with MLOps practices, Docker, Prefect, and MLflow.

Alongside industry work, I've taught data science at GoMyCode and mentored learners through real-world projects. My projects include a human-approved data analysis agent, agentic RAG workflows, LLM automations, and a self-correcting research agent.

Experience

Work history, roles, and key accomplishments

Current

Python Developer – AI/ML & CLG Lead

Current

Sartor Limited

Jun 2025 - Present (1 year 3 months)

Spearheaded the design and MVP development of an AI-driven Covert Label Generator (CLG) for counterfeit detection, integrating deep learning and blockchain for secure product authentication. Built and optimized robust, scalable APIs and AI inference pipelines, reducing response latency by 40%.

Python Deep Learning Blockchain API Development AI Inference MLOps

Data Scientist Instructor

GoMyCode

Sep 2024 - Nov 2025 (1 year 2 months)

Delivered comprehensive instruction on data science fundamentals, including Python programming, data manipulation, visualization, and machine learning algorithms. Mentored and guided students through real-world projects, enabling them to build portfolio-ready projects.

Python Data Manipulation Data Visualization Machine Learning Mentorship

KaggleX Mentee

Kaggle

Aug 2023 - Nov 2023 (3 months)

Engaged in Kaggle competitions to enhance practical problem-solving skills in data science. Successfully conceptualized and implemented a plant disease detection system showcased as a final project.

Data Science Machine Learning Plant Disease Diagnosis

Machine Learning Engineer Intern

Zimmerman B.V

Sep 2022 - Jan 2023 (4 months)

Developed a custom object detection model using TensorFlow, YOLOv5, and OpenCV to automatically identify and redact sensitive information with a 92% accuracy rate. Streamlined model deployment with MLOps practices, cutting deployment time by 50%.

TensorFlow YOLO V5 OpenCV Kubernetes Docker MLOps Prefect MLFlow

Junior Data Scientist

Zummit Africa

Dec 2021 - Jul 2022 (7 months)

Implemented version control and unit testing practices, reducing bugs by 40% and improving production code quality by 30%. Applied ML techniques to optimize business workflows, boosting data accuracy by 25%.

Python Machine Learning Keras TensorFlow PyTorch Version Control Unit Testing

Data Science Intern

Hamoye AI Labs

Feb 2020 - Jul 2020 (5 months)

Utilized NumPy, Pandas, Matplotlib, and Python to wrangle and analyze large data sets. Built a hotel recommender system with 95% accuracy and trained an unsupervised learning model for population segmentation.

Python NumPy Pandas Matplotlib Machine Learning Recommendation Systems K Means