Researching human problems, engineering interactive systems, and translating evidence into product decisions.
A product-management workspace connecting interview transcripts to source-linked opportunities, explicit prioritization decisions, and a reviewed Word PRD.
A product experimentation workspace that turns a product question into an A/B plan, synthetic event data, statistical evidence, and a downloadable product recommendation.
A fast multiplayer word game where 2–8 players race through shared puzzles, compete across synchronized rounds, and play with either Word Search or Scramble Rush.
Implemented instructor-facing AI analysis controls, response exploration, and grade-review interactions in an educational research application.
A working operations assistant for a fictional retailer. It helps teams investigate a fulfillment problem, find the records behind the answer, acknowledge when information is missing, and send sensitive actions to a person for review.
Owned trade finance application delivery and co-owned core banking implementation workstreams across business teams, technology teams, and vendors in Nigeria, Ghana, and the UK.
Delivered Oracle Primavera Unifier dashboards, investigated project-data quality, and designed a proposed AI-assisted reporting architecture.
An AI interview coach that asks questions out loud, adapts to your role and interview stage, and gives feedback on your answers.
A product teardown studio connecting competitor capabilities and user journey friction to evidence-backed needs and testable feature proposals.
A go-to-market planning workspace that connects a target segment to positioning, packaging, channel investment, and measurable launch gates.
Variant Sudoku research exploring mathematical reasoning, student guidance, and AI-supported learning.
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Hands-on SQL processing, database-to-database ETL, and Power BI reporting involving historical NIBSS-related and other financial-sector datasets.
I conducted mixed-methods research and designed mobile and in-vehicle interfaces across participant groups with different access needs. Original prototypes show how a user need became a visible arrival interaction.
A VIPR-GS research project examining vehicle interfaces in context. I analyzed interview evidence, refined a peer-reviewed paper and built a Unity environment with terrain, noise and weather effects.
Evaluated how repeated trip observations degrade location privacy in urban vehicle-to-everything systems using entropy-based privacy metrics and a four-week simulation.
Course projects and assignments in machine learning and human-centered research, with methods, evidence and reflections.
From a parking occupancy question to an inspectable ML benchmark: clear targets, chronological evaluation, saved models and documented trade-offs.
What I learned about quantitative user research: choosing methods, comparing interface conditions, interpreting uncertainty and modeling repeated observations, demonstrated through four R assignments.
What I learned about training and evaluating ML models, from regression and clustering to neural networks and transformer fine-tuning. Includes runnable Python, notebooks, fitted models and saved results.
How might recommendation explanations affect satisfaction, trust and perceived quality? A research proposal connecting the question to variables, study procedures and measurement.
A narrative game for empathy and de-escalation practice. I proposed the concept and contributed scenario design, UI integration, team coordination and the project paper.
How repeated trip observations change an observer's uncertainty about a driver's travel. I contributed research synthesis, study design, figures, writing and coordination.
What I learned about study design, interviewing, reflexive thematic analysis and translating findings into design questions, applied through an individual study of vehicle automation.
What I learned about connecting user needs to design decisions, demonstrated through an IT support dashboard: interviews, needs analysis, measurable requirements, concept selection and prototype evaluation.
From finding the right problem to growing a product. These five builds explore each step, with Word Rush as the playable product at the center.
What you learn feeds the next round of discovery, prioritization, and iteration.
The projects currently run independently. This map shows how their workflows fit together.