Description

I thrive in challenging environments where problems are complex and solutions are not obvious. My strengths lie in taking ideas from data to production building, deploying, and optimizing ML and AI systems that create real impact.

With a strong foundation in Data Science and practical ML/AI engineering experience, I combine deep analytical skills with the ability to design end-to-end solutions. From forecasting models to LLM fine-tuning and scalable API deployment.

I enjoy turning difficult problems into effective, working systems. I believe AI is here to stay, and I am committed to making it more accessible and impactful in people’s lives through my ability to build, deploy, and scale solutions end-to-end.

I am resourceful, action-oriented, and motivated by solving problems that matter. My focus is on delivering reliable and efficient solutions while continuously learning and improving.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

LifeBank (Nigeria) Ltd – HealthTech & Medical
ML/AI Engineer
HEALTH AND WELLNESS
May 2025 - Today (1 year and 1 month)
Lagos, Nigeria
• Fine-tuned Gemma 1B with QLoRA for domain-specific hospital finance tasks (instruction alignment + domain adaptation).
• Migrated AI system from Gemma to Qwen, boosting reasoning depth and scalability while reducing inference latency by 20%.
• Automated AWS EC2 GPU training with Bash, reducing setup time by 40% and lowering compute costs.
Deep Learning Pytorch Python Docker Bash
LifeBank (Nigeria) Ltd
Data Scientist (Financial Systems)
HEALTH AND WELLNESS
January 2025 - April 2025 (3 months)
Lagos, Nigeria
• Built ML models for hospital finance forecasting (profitability, liquidity, leverage, efficiency) using XGBoost + Prophet.
• Designed hybrid-weighted models (80% naive logic + 20% ML) for robustness on sparse datasets.
• Implemented revenue & cash flow predictions with regressors (hospital size, state).
• Surfaced early warning signals of negative cash flow for proactive hospital decision-making.
Python Deep Learning Machine learning Data science
LifeBank (Nigeria) Ltd
Data Scientist (Healthcare Forecasting)
October 2023 - December 2024 (1 year and 2 months)
• Developed time-series forecasting pipelines for blood supply, oxygen, and medical stocks, reducing stock-out risk by 20%.
• Enhanced Equipment system with predictive maintenance ML models for early equipment servicing.
• Delivered a forecasting engine, providing healthcare teams with scenario simulations to improve planning for critical supplies.