Hi, I am Chukwudum Chukwuedo 👋
Data Science & AI Lead (Architecture & Engineering) @ Accenture (London)
Designing secure, production-ready AI for healthcare, energy and critical infrastructure.
Using business and technology as a force for good.
What I do
- AI architecture & engineering – designing data and AI platforms, services and workflows that are secure, observable and maintainable.
- Secure AI & data products – building and integrating AI systems that respect safety, privacy and regulatory constraints.
- Business analytics & optimisation – turning operational data into decisions for healthcare, energy and other complex environments.
- End-to-end delivery – from discovery and solution architecture through to implementation, deployment, monitoring and iteration.
I work at the intersection of data science, cyber security and digital engineering, helping organisations connect the right cognitive technologies to their highest-value opportunities.
Current focus
- 🛡️ Secure & responsible AI – threat-aware designs, governance and risk-based controls across the AI lifecycle.
- 🧱 Production-grade Python & services – FastAPI, testing, dependency management with
uv, and modern project structures.
- 🏥 Healthcare operations analytics – demand, capacity and no-show modelling to improve access and efficiency.
- ⚡ Energy & climate data – methane emissions, monitoring and operational insights across critical infrastructure.
Core tech
Selected projects
🛡️ Cyber security & reliability
-
msc_cybersecurity_project
End-to-end MSc cyber security project structured like a real-world Python service (src/, tests/, pyproject.toml, uv.lock) with data, notebooks and automated tests.
-
log-monitoring-application
FastAPI application that parses log files, calculates job durations, applies configurable warning and error thresholds and exposes a simple API, backed by tests and modern Python tooling.
🌍 Energy, climate & critical infrastructure
methane-minder
Groundwork for methane emissions analysis using Carbon Mapper data – data dictionaries and structures for plume-level attributes (location, instrument, IPCC sector, emission estimates and uncertainty).
🏥 Healthcare & social impact
(You will also find earlier projects including password generators, COVID-19 impact estimates and coursework from my Digital for Industries programme.)
Tools & technologies
Languages & analytics
- Python, R
- SQL (Oracle, PostgreSQL, Azure SQL)
- Jupyter, pandas, NumPy, scikit-learn
Engineering & platforms
- FastAPI, REST APIs, Vue.js for front-end interfaces
- Docker,
uv for dependency management
- CI/CD, testing and code quality tooling
- Azure (data & DevOps), Git, GitHub, Azure DevOps
Visualisation & business tools
- Power BI, Tableau
- Excel for business analytics and reporting
Ways of working
- Design thinking & product discovery
- Data and AI solution architecture
- Project and programme management
- Robotic process automation, AR/VR experimentation
How I think
I am motivated by self-discipline, integrity, diligence and respect for others. I care about:
- Building ethical, secure and data-driven organisations
- Connecting strategy, technology and operations in a language executives and engineers both understand
- Delivering pragmatic, production-ready solutions rather than theoretical models that never leave a notebook
Beyond code
Outside work I invest in deepening my skills in:
- AI and data architecture
- Cyber security and secure-by-design principles
- Digital engineering, cloud & edge computing, and the internet of things
All with the aim of becoming a more effective, ethical technical leader for data and AI in critical environments.
Let us connect
I am always happy to chat about secure AI, digital engineering, and high-impact projects in healthcare, energy and critical infrastructure.