Open to opportunities

Zion Umoh

@zionumoh

Message

Product-minded AI builder shipping RAG-based solutions that reduce friction and drive measurable adoption.

United Kingdom

Message

What I'm looking for

I’m looking to build and scale RAG-based AI products where I can own roadmaps, ship fast with measurable success metrics, and use SQL/data insights to remove user friction.

I’m a high-ambition technical product builder with a background in CS and AI, focused on shipping RAG-based AI products end-to-end. I rely on first-principles reasoning, then validate quickly through iteration and metrics to ensure the product delivers real business value.

In my founding work, I replaced a high-complexity OCR receipt scanner with a high-speed note-style capture system to remove technical debt and user friction. I also built an autocomplete shopping memory engine that prioritizes user-habit design over invasive, error-prone technology.

My product leadership includes owning MVP scoping and delivery for a RAG chatbot, mapping the full query → retrieve → synthesize journey and optimizing the quality–latency trade-off. I define success using tight feedback loops (a Capture-to-Recall loop) to drive rapid user adoption and retention.

Professionally, I’ve bridged technical constraints with product roadmaps as an Acting Product Owner, ensuring on-time, high-quality delivery via Agile execution. I’ve also used SQL/data-driven analysis to identify churn and friction patterns, translating insights directly into onboarding and retention roadmap decisions.

Experience

Work history, roles, and key accomplishments

AI Product Engineer Intern

Usercando

Jul 2023 - Oct 2023 (3 months)

Engineered a RAG-based chatbot prototype to validate enterprise feasibility and contributed across the product lifecycle from ideation to launch. Supported iterative execution to move from concept to a deployable MVP.

RAG Prompt Engineering Python Product lifecycle Testing

Product Data Analyst Intern

Growth Founder

Jul 2022 - Oct 2022 (3 months)

Analyzed 5,000+ user records using SQL to identify user friction and churn patterns. Produced actionable insights that informed the onboarding and retention roadmap.

SQL Data Analysis User Behavior Analysis Friction Point Analysis Cohort Trend Reasoning Tableau

Founder & Product Lead

United Kingdom Shop Notes

Led a first-principles pivot from a high-complexity OCR receipt scanner to a faster note-style capture system, reducing technical debt and user friction. Defined Capture-to-Recall success metrics and built a habit-aware shopping memory engine using familiar user behaviors to improve adoption and retention.

Product Strategy Autocomplete Systems Memory Habit Modeling Metrics User Retention Wireframing

Education

Degrees, certifications, and relevant coursework

Keele University

Master of Science in Artificial Intelligence and Data Science, Artificial Intelligence and Data Science

Activities and societies: Relevant areas include AI strategy, generative AI product design, machine learning ethics, and LLM-based RAG architecture research for enterprise data synthesis.

Pursuing a Master of Science in Artificial Intelligence and Data Science with specialization in AI strategy, generative AI product design, and machine learning ethics. Selected research focuses on investigating LLM-based RAG architectures for enterprise data synthesis.

Pan-Atlantic University

Bachelor of Science in Computer Science, Computer Science

Grade: High Distinction (Top of Class); Research Excellence Award in Machine Learning; GPA 4.55/5.0

Activities and societies: Relevant coursework: Product Design (HCI), Agile Development, Data Analytics.

Earned a Bachelor of Science (Computer Science) with high distinction and recognized research excellence. Completed coursework spanning product design (HCI), agile development, and data analytics.