Ogbebor Osaheni - AI Product Manager

AI Product ManagerBuilding Intelligent, Trusted Products

I build ML products end-to-end, from model to frontend, with explainability and ethics baked in from day one, not bolted on at the end.

About Me

Ogbebor Osaheni - AI Product Manager

Ogbebor Osaheni

AI Product Manager

I’m Ogbebor Osaheni, an AI Product Manager building end-to-end ML products from the ground up: ML pipelines, FastAPI backends, and Next.js frontends shipped to production with full PM artefacts before a single line of code.

I’m drawn to products where AI meets human creativity and editorial judgement. Bias detection tools that keep reviewers in control, story engines that guide writers rather than replace them, pricing systems that explain every recommendation in plain English. The common thread: AI that earns trust by being transparent.

Open to AI PM roles in the UK, particularly in media, film and creative technology. Projects built using AI-assisted development workflows, directing Claude Code and v0 to ship production frontends while maintaining full ownership of product decisions, architecture, and PM artefacts.

ML & XGBoost

Built XGBoost pipelines across pricing, sentiment, and bias detection. Applied Optuna TPE search (50 trials, 3-fold CV) on the pricing system — confirming the baseline was already well-calibrated and the R² ceiling was genuine market noise, not fixable by tuning.

Explainable AI

Applied SHAP to the pricing and bias detection models. Pricing: 3 chart types (bar, dot, waterfall) with live per-prediction explanations. Bias Audit: per-word SHAP waterfall in every result card — reviewers see exactly which words drove the verdict and by how much.

Product Strategy

Wrote PRDs, OKRs, and roadmaps before building. Shipped PM artefacts first, code second — on every project.

Responsible AI

Built bias audits, fairness constraints, and ethics frameworks aligned to UK Online Safety Act, Ofcom, and GDPR.

Full-Stack Shipping

FastAPI backends, Next.js frontends, Supabase — from model to deployed product, end to end.

AI-Assisted Development

Direct Claude Code and v0 to ship production interfaces, maintaining full ownership of decisions and architecture.

Projects

A showcase of my AI Product Management and backend development work.

AI Dynamic Ticket Pricing
AI Dynamic Ticket Pricing
Python
XGBoost
SHAP
Optuna
Streamlit
An end-to-end AI pricing system for UK live events that integrates artist popularity, venue location premiums, demand urgency signals, and market conditions to generate explainable, ethical price recommendations
Frame Intelligence
Frame Intelligence
Next.js
FastAPI
Claude API
Supabase
Python
ffmpeg
Vercel
AI-powered commercial film intelligence platform for professional filmmakers and creative directors. ATANDA Lens analyses TikTok and Instagram commercials across 6 layers—Brand, Story, Cinematography, Sound, Post, and Performance—using Claude API and computer vision with Bruce Block and SB7 frameworks. ATANDA Forge delivers a 7-stage AI production pipeline from brief to post-production brief, powered by the Meridian Engine.
Bias Audit Dashboard
Bias Audit Dashboard
Next.js
FastAPI
XGBoost
SHAP
Claude API
Supabase
B2B AI tool for trust and safety teams at UK media companies. Detects bias across 6 categories using TF-IDF + XGBoost (F1 0.90) with tiered routing: short inputs go to Claude API for semantic classification, long inputs to the full XGBoost + SHAP pipeline. Includes a live comment moderation simulator, fairness metrics panel, and audit log. Built for Online Safety Act 2023 and Ofcom compliance.
Ojuit
Ojuit
Python
FastAPI
Next.js
OpenCV
XGBoost
Claude API
Supabase
Two-product AI platform for solo indie filmmakers. Story Engine guides writers from raw idea to full beat sheet across six stages with AVOID_LIST prompt engineering and full Supabase state persistence. Colour Intelligence pipeline delivers CIE Lab Delta E measurement, XGBoost correction predictions, and scene-to-reference LUT export for DaVinci Resolve and Premiere Pro.
TrueCase
TrueCase
Next.js
Claude API
TypeScript
Tailwind CSS
@react-pdf/renderer
Vercel
AI-powered business case builder for AI investments. Generates governance-adjusted ROI projections with a reliability score (0–100%) based on six KB-backed governance elements. Claude Sonnet 4 produces a three-section business case narrative constrained entirely to a verified knowledge base — not training data. Zero data retained. Exports board-ready PDF and HTML.
Pulse: AI Audience Sentiment Monitor
Pulse: AI Audience Sentiment Monitor
Python
FastAPI
Next.js
XGBoost
SHAP
Recharts
Real-time AI audience sentiment monitor for live UK broadcast events. TF-IDF + XGBoost emotion classifier (5-class, Macro F1 0.830) and multi-label topic classifier built for live broadcast producers at BBC, Channel 4, ITV, and Sky. Scripted BAFTA simulation with narrative arc, negative sentiment spike alerts, SHAP word-level explainability, and an editorial guardrail built into the architecture. Aligned with Ofcom Broadcasting Code.

Get In Touch

Open to AI PM roles, freelance work, and interesting conversations about what responsible AI actually looks like in practice. Get in touch.

Contact Information

Email

osaheniogbebor.c@gmail.com

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