Frank Enendu

AI engineer & product builder · Manchester, UK

AI engineering.
From the problem
to the product.

I work with people to understand their workflows, build the systems they need, and put AI to use in the real world.

Explore my work View my CV
Applied AIAgent systemsTechnical consultingProduct engineeringScroll to explore ↓

01 Selected client work

Built alongside the people using it.

At BCN, I worked across pre-sales, consulting and R&D, embedded with client businesses to turn operational needs into working AI solutions.

More client engagements

Document extraction

I built a document-extraction prototype that turns medical PDFs and images into structured JSON, combining layout-aware preprocessing with an API for accessing the results.

Staff-used prototype

Ticketing

I built a support-ticket prioritisation prototype, adapting transformer classification and LLM prompting to ticket text, with preprocessing and evaluation workflows to inspect the predictions.

Staff-used prototype

Wellbeing reporting

I built a reporting prototype combining wearable measurements and wellness surveys into daily, weekly and monthly narratives, with Azure OpenAI and Fabric lakehouse integration.

Staff-used prototype

Email-Extractor

I built a Python prototype that combines supplier emails and spreadsheet content, extracting product, price, availability and delivery details into structured offer records for review.

Staff-used prototype

SharePoint assistant

I built a document-grounded question-answering prototype for client staff, connecting SharePoint ingestion through Microsoft Graph with Azure AI Search retrieval and Azure OpenAI responses.

Staff-used prototype

02 Bally’s · AI R&D

The engineering behind the intelligence.

My current work spans multimodal pipelines, conversational research and tools that help engineering teams work with agents.

Bally’s · AI R&DActive development

Game DNA

I engineered a multimodal pipeline combining gameplay video and mathematical data into structured experience profiles, with agent-driven capture, resumable processing, quality gates and semantic retrieval.

  • Python
  • Gemini
  • Playwright
Bally’s · AI R&DInternal platform

Agent Skills

I initiated an internal library of reusable agent workflows and built discovery, installation and validation tooling, with contributors sharing engineering practices through a maintained catalogue.

  • Python
  • Agent workflows
  • MCP
Bally’s · AI R&DActive development

Interview Engine

I built an AI-assisted research platform that turns documents into editable interview plans, supports text and realtime voice conversations, and links findings to participant evidence.

  • React
  • Node.js
  • Express
Interactive demonstrator

Game Ideation

I developed an interactive demonstrator for evidence-linked studio briefs, connecting market demand, catalogue capabilities and portfolio gaps with a proposed expert-review and backtesting approach.

MVP

Hackathon platform

I developed an internal platform for ideas, team formation and judging workflows, adding AI-assisted categorisation, summaries and duplicate detection alongside background processing and deployment tooling.

03 Ventures I’m building

My own problems worth solving.

Alongside my engineering work, I’m building products for selection teams, everyday merchants and people who need to trust what they buy.

FairLens.

OPPORTUNITY, WITH EVIDENCE
Personal startup

I’m building a platform for scholarship, grant and programme selection, bringing structured criteria and source-linked assessment into a workflow where human reviewers make the decisions.

Explore FairLens (opens in a new tab)

OgaHQ.

THE EVERYDAY BUSINESS OS
Personal startup

I’m building a business platform for everyday merchants, bringing point of sale, inventory, accounting and customer workflows together with conversational tools for common operational tasks.

Explore OgaHQ (opens in a new tab)

Verify.

TRUST, AT THE ITEM LEVEL
Personal startup

I’m building a product-authenticity platform combining public QR codes and concealed verification codes, with item-level verification and operational workflows for manufacturers and consumers.

Explore Verify (opens in a new tab)

04 Agent tooling

Tools for the way we build now.

Two personal projects exploring how to observe coding agents, preserve context and put practical controls around their actions.

SafeAI is available as a Python package. AiGen’s current control-plane implementation is in development.

05 Further work

Different contexts. Hands-on contribution.

Historical contribution

CaseReviewer

As an initial pre-launch technical cofounder, I built the AI engine for the early CaseReviewer product. This was my contribution during its early development.

Initial pre-launch technical cofounder

Initial consultation

Lagos Business School

I contributed initial AI transformation consultation focused on automating MBA programme processes, exploring where AI and workflow automation could support the work of programme teams.

AI transformation consultant

06 Writing & learning

Working things out. Sharing what I learn.

01
Computer vision

Implementing Semantic Segmentation

An exploration of CamVid image segmentation with U-Net and fully convolutional networks.

(opens in a new tab)02
Machine learning

Implementing Clustering Algorithms

A practical look at clustering implementations and silhouette-based evaluation.

(opens in a new tab)03
Data science

Retention vs. Churn: Understanding Customer Behavior with HubPay Data

Exploring customer behaviour, data preparation and the comparison of classification models for churn prediction.

(opens in a new tab)
The foundations

Curiosity, backed
by the fundamentals.

MSc Data Science and Artificial Intelligence, with Distinction, from the University of Liverpool. A career spanning data science, embedded AI consulting and product engineering.

More about me
2026 — now

Bally’s InteractiveAI Engineer R&D

2023 — 2026

BCNGraduate Engineer → AI Engineer

2021 — 2022

HubpayJunior Data Scientist

Let’s talk

Have a good problem
to work on?

I’m always interested in thoughtful teams, useful products and the engineering that connects them.

Say hello