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Professional Journey

Roles, mentoring work, and technical delivery across problem-first AI engineering, ML systems, and decision-support products.

02/2026 - Present
Part-time | Remote

AI and Machine Learning Mentor

Wecncode

Mentor learners and early-career professionals in applied AI and machine learning through practical, portfolio-ready project work.

  • Mentor 50+ learners and early-career professionals in artificial intelligence and machine learning.
  • Guide learners through practical, portfolio-ready projects across ML workflows, LLM concepts, cloud deployment, and real-world solution design.
  • Explain complex AI and ML concepts in a structured, industry-relevant way to help learners translate technical knowledge into applied use cases.
  • Contribute to open-source and cloud-focused learning initiatives that expose learners to modern AI tooling and production-oriented engineering practices.
12/2024 - Present
Remote | Calabar, Nigeria

Data Scientist

PSP Analytics

Lead the design and delivery of machine learning systems, production data pipelines, and experimentation workflows for client-facing decision-support use cases.

  • Led research and development of machine learning systems for pricing optimisation, lead scoring, and customer segmentation.
  • Designed and maintained production data pipelines using Python and SQL for ingestion, transformation, and feature generation across client datasets.
  • Deployed ML-powered applications using FastAPI and Streamlit, improving research workflow efficiency by approximately 30%.
  • Implemented MLOps workflows with MLflow and Git to support reproducible experiments, versioned models, and controlled deployments.
  • Built A/B testing and uplift measurement frameworks, contributing to approximately 13% increase in conversion rates for targeted campaigns.
  • Integrated model monitoring and drift detection workflows to support retraining and system stability.
04/2024 - 11/2024
Onsite | Abuja, Nigeria

Data Scientist / Software Engineer

De Ebumar Innovation

Built structured data and monitoring systems that improved visibility, reduced manual effort, and connected software workflows with hardware and IoT operations.

  • Built data ingestion and processing pipelines that replaced manual storage workflows for hardware and IoT systems.
  • Developed an internal Streamlit monitoring dashboard to centralise operational visibility and improve issue detection.
  • Integrated software and hardware components for home automation and security products, improving telemetry tracking and reporting reliability.
  • Improved customer-facing transparency and reporting, contributing to a 20% increase in client acquisition.
  • Reduced manual monitoring effort by 30% through dashboarding, automation, and structured data workflows.
  • Improved device-data processing turnaround by 12% by replacing fragmented storage steps with a structured ingestion workflow.

Education

01/2020 - 10/2025

Bachelor of Engineering, Electrical and Electronics Engineering

University of Cross River State, Calabar

Specialisation: Control System Engineering

Certifications

  • Snowflake for Devs, Data Scientists, Data Engineers - Snowflake
  • Modern Data Engineering with Snowflake - Snowflake
  • Applied Data Science Lab - WorldQuant University
  • Career Essentials in Generative AI - Microsoft and LinkedIn
  • AI Fluency: Framework & Foundations - Anthropic
  • CI/CD Certification - Simplilearn
  • Deep Learning Certification - Kaggle

The Architect Behind the Code

The delivery work is only half the story. See the principles, systems thinking, and technical range behind the projects.

Learn More About Me