About — Babatunde Oluwabusayo Bello
I build products by starting with the problem, not the technology.
Early-Career Technical Product Manager & AI-Assisted Product Builder
I’m Babatunde, a technical product person based in Cambridge. I graduated in June 2026 with a First-Class BSc in Computer Science from Anglia Ruskin University (81.42% overall, 87% on the final-year product research project), and I spent most of those three years doing the same thing repeatedly: finding a workflow that was failing someone, understanding it properly, and building something that fixed it.
That started with ExamMaster, which I built because my coursemates and I were spending more time assembling revision material than revising. It carried through live-client projects with Together Culture and TrackGenesis, where I learned that the hard part is almost never the code — it’s getting a stakeholder to say clearly what they need, and then holding scope while you deliver it.
X-Vendor best illustrates how I work. It began as an observation about street-food vendors keeping paper ledgers with no printer and unreliable power, and it’s now a multi-tenant SaaS with multi-outlet support and subscription tiers. Alongside that, I’ve remotely led product and operational change at Afadapa Enterprises, my family’s aquaculture business, and completed a research project on decentralised food-surplus redistribution.
How I actually work
Across these products I identified the problems, ran the discovery, mapped the workflows, defined the requirements, prioritised the features, directed AI-assisted implementation using tools such as Lovable, then tested and iterated with real users. I’m explicit about that because it changes how you should read the work.
I’m early-career in formal PM-title terms, but I have practical ownership across discovery, requirements, prioritisation, testing and iteration. AI accelerates implementation; problem framing, prioritisation, validation and accountability for the outcome still require product judgement, and that is the part I own.
Outside the build
I was elected Science & Engineering Faculty Representative (October 2023 — October 2024), representing 500+ students and leading 20 student initiatives, and was Highly Commended for Cambridge Rep of the Year in 2024 — that role taught me more about stakeholder management than any module did. I’ve pitched at Barclays Eagle Labs through Connected Cambridge, won Best Presentation in the first round of the #ThinkBigARU pitching competition, and separately took second prize in the Engineers and Scientists in Business Fellowship (ESBF) round of the same competition.
What I’m looking for
Open to UK Technical Product Manager, Associate Product Manager, Product Analyst, Technical Business Analyst and AI Product roles. Ideally somewhere with real operational complexity, where understanding the domain is half the job.

At a glance
81.42%
First Class BSc Computer Science
87%
Final-year product research project
30+
Classmates using ExamMaster
597
Businesses in the Field Tracker dataset
20
Student initiatives led as Faculty Rep
Continuous development
A few credentials that back the practice.
Secondary to the products themselves, but they show where I've deliberately built depth.
Product Management: Building a Product Roadmap
CompletedLinkedIn · Issued September 2025
Roadmapping, sequencing product bets, communicating direction and aligning priorities.
AWS Academy Graduate — AWS Academy Cloud Foundations
CompletedAmazon Web Services (AWS) — training badge · Issued March 2026
Foundational cloud concepts, AWS services, architecture, security, pricing and cloud value.
Training badge from the AWS Academy programme, not an AWS Certification exam.
Bloomberg Market Concepts
CompletedBloomberg · Issued May 2026
Commercial and market awareness when weighing product tradeoffs.
Also recognised through Anglia Ruskin University's Certificate for Professional Development programme.
Credential ID: zs6dTVt5993dfibvMd5i3YyA
AI Solutions for Business Optimisation
CompletedAnglia Ruskin University — Certificate for Professional Development
Applied AI framed around business outcomes rather than the technology itself.
Qlik Sense Business Analyst
In progressQlik
Building analytics views that answer product questions directly.
Capabilities
Where I'm strongest.
Discovery & problem framing
User interviews, contextual observation, workflow mapping and problem statements grounded in how people actually work.
Requirements, PRDs & user stories
Translating messy business needs into technical requirements, acceptance criteria and scoped delivery documents.
Prioritisation & roadmaps
MoSCoW and impact/effort tradeoffs, MVP definition, sequencing releases against real constraints and deadlines.
UX & prototyping
Wireframes, hi-fi prototypes, usability testing and iteration on flows before build effort is committed.
AI-assisted development
Directing AI tooling such as Lovable to implement specifications, then reviewing, testing and correcting output.
Technical foundations
React, PWAs, REST APIs, relational databases, cloud deployment, applied AI, cybersecurity and distributed systems.
Measurement & experimentation
Defining success metrics, baselines and evidence plans; developing stronger product instrumentation and analytics practice.
Leadership & stakeholders
Elected faculty representative, live-client project lead, comfortable running the conversation between users and builders.
SaaS & go-to-market
Multi-tenant thinking, subscription tiers, packaging, pricing structure and commercial expansion of an existing product.
Experimentation & pilots
Small, reversible tests — pilots, prototypes and simulations — used to reduce uncertainty before committing.