Engineering Expertise

AI & LLM Engineering

  • RAG architectures — vector search, chunking and retrieval evaluation, prompt and template management, guardrails.
  • Agentic and multi-agent workflows; MCP and A2A.
  • Fine-tuning open-weight models with QLoRA/PEFT.
  • Transformer NLP — classification, NER, relation extraction, document triage and summarisation.

Software Engineering

  • Python (advanced) — enterprise codebases, packaging and distribution, pytest, pre-commit and linting, semantic versioning.
  • REST APIs with Flask, FastAPI and Plumber; full-stack delivery (TypeScript/JavaScript, React/Next.js, HTML/CSS) and low-code analytical UIs (R Shiny).
  • R package development — roxygen2, testthat, the CRAN submission workflow.

Cloud & MLOps

  • AWS (S3, EC2, Lambda, EKS/Kubernetes, IoT Core), Azure (Databricks, ML), GCP.
  • Docker, Kubernetes, GitHub Actions, Bitbucket Pipelines, MLflow tracking and registry, Delta Lake.
  • Deployment, drift and latency monitoring, automated evaluation gates, cost optimisation.

Data & Analytics

  • Distributed PySpark/Spark pipelines, ETL/ELT, data quality contracts and SLOs.
  • Entity resolution and record linkage; graph and network analysis (NetworkX).
  • Forecasting (ARIMA, Prophet, LSTM), causal attribution, anomaly detection.
  • Distributed lag non-linear models (DLNM), Bayesian spatio-temporal models (INLA), case-crossover analysis, multivariate meta-analysis.
  • Geospatial (GeoPandas, ArcGIS/QGIS); Power BI and executive dashboards.

Communications, IoT & Edge

  • Underwater acoustic communications; low-power wireless sensing.
  • LPWAN, LoRaWAN, BLE, Zigbee, Thread, MQTT, WebRTC.
  • Constrained-device deployment, model compression, edge inference (ESP32, Arduino, Raspberry Pi).
  • Network topology design, routing and clustering for constrained networks.
  • Reinforcement learning, federated learning, distributed optimisation.

Risk, Controls & Responsible AI

  • Model documentation and validation evidence; reproducible analytical pipelines (RAP).
  • Approval and audit trails, PII handling and access control, secure SDLC.
  • Bias and drift monitoring; familiar with the Aqua Book assurance framework.

Programming & Tools

  • Languages: Python, R, SQL, TypeScript/JavaScript, MATLAB.
  • AI/ML: PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LlamaIndex, spaCy.
  • Cloud & Big Data: AWS, Azure/Databricks, GCP, Spark, Hadoop.
  • DevOps: Git/GitHub, Docker, Kubernetes, GitHub Actions, Bitbucket Pipelines, pre-commit hooks.
  • Web: Next.js/React, Flask, FastAPI, Django, R Shiny.

Project & People Leadership

  • Line manage two data scientists; direct technical contributors across five countries.
  • Certified Scrum Master; RAP advocate and trainer.
  • Stakeholder engagement across UN agencies, UK government departments, national statistical offices, academia, housing and healthcare partners, and external suppliers.
  • Contract and statement-of-work drafting; supplier deliverable review; security assurance.

Professional Registration & Certification

  • MNSE — Member, Nigerian Society of Engineers.
  • COREN-registered engineer with a current practising licence.
  • MIEEE · MIET.
  • Microsoft Certified: Azure Data Scientist Associate · Azure AI Engineer Associate.
  • Certified Scrum Master · Accredited Safe Researcher.

Awards & Honours

  • UN Statistical Commission endorsement of the SOSCHI methods (57th session, New York, March 2026).
  • Invited Speaker, IEEE Sensors Conference, Dallas — recognition for the DEKCS paper being one of the most-downloaded from IEEE Xplore in Q1 2022.
  • Winner, 3-Minute Thesis Competition.
  • Winner (£1,000), Systems, Power & Energy Division PhD Poster Competition, University of Glasgow (2019).
  • Runner-up, EPSRC Connected Everything Hackathon.
  • PTDF Nigeria Doctoral Fellowship (2018).
  • NITDEF Nigeria Overseas MSc Scholarship (2014).
  • Undergraduate merit scholarships: ExxonMobil, PTDF, Total E&P.