$ whoami
AI, ML & Data Engineer_
I build intelligent systems and data pipelines, from LLM evaluation and financial forecasting to real-time computer vision, Databricks analytics, and production AI validation. Currently contributing to frontier AI training at Mercor, with an MSc in Computer Science from Ulster University.
AI Trading Platform
End-to-end AI financial forecasting platform processing live market data with automated pipelines for feature engineering, model inference, and signal generation on three years of historical data. XGBoost and LightGBM models over 70+ technical indicators, with real-time risk management, entry levels, stop-loss, take-profit, and confidence scores.
Research
Adaptive machine learning framework for detecting concept drift in evolving financial time series, enabling predictive models to respond to changing market behaviour. Investigates online meta-learning with reproducible experiments and rolling-window validation under non-stationary conditions.
Document Intelligence & RAG
Intelligent document-processing pipelines extracting structured product information from PDFs and images via OCR and NLP. Semantic search, vector retrieval, and Retrieval-Augmented Generation for discovery across unstructured technical documentation, with REST APIs and interactive dashboards.
Published Research — ResearchGate
Empirical study of conformity, belief revision, and reasoning robustness when large language model agents interact under peer influence. Examines how social pressure shapes multi-agent reasoning and where model judgement degrades.
Real-Time Computer Vision
Real-time computer vision system detecting driver fatigue from live video. Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) algorithms with adaptive fatigue scoring classify alertness and trigger intelligent alerts, with visual analytics for behavioural monitoring.
Published Research — ResearchGate
Empirical study of conformity, belief revision, and reasoning robustness when large language model agents interact under peer influence — examining how social pressure shapes multi-agent reasoning and where model judgement degrades.
Empirical study of social influence in multi-agent LLM systems — conformity, belief revision, and reasoning robustness under peer influence.
Data pipeline for Premier League manager analytics built with Python.
Collection of AI voice projects covering speech processing and synthesis.
Loan default prediction models with an interactive Streamlit app.
Customer churn analysis and Power BI dashboards.
House price prediction with machine learning regression models.
Statistical analysis of social deprivation and mortality across UK cities.
COVID-19 analytics dashboards built with DAX and Power BI.
Aug 2026 — Present
Remote (Contract)
Jan 2026 — Present
United Kingdom (Part-Time)
Jul 2022 — Jul 2023
Rivers State, Nigeria
2019 — Present
Remote
04 // What's next?
I'm open to AI/ML engineering roles, research collaborations, and interesting contract work. My inbox is always open.
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