// AI Engineering and Data Science
Hi, I'm Amesese.
5+ years experience in delivering fullstack AI and data-driven products, built and shipped 10+ web solutions, and helped teams improve real-world decision-making through machine learning systems.
+20%
Forecast Accuracy Improvement
-25%
Dataset Noise Reduction
AI SYSTEMS
End-to-End Development
10+
Client Websites Delivered
About
Who am I?
I am a Fullstack AI Engineer with a background in Computer Science, dedicated to building ML-powered applications end-to-end.
My expertise lies at the intersection of machine learning systems, data pipelines, and fullstack web development. I focus on creating impact through real-world applications in recommendations, forecasting, and AI-assisted decision systems.
Selected Work
A showcase of high-value, industry-relevant projects.
Air Quality Analysis of PM2.5 Trends (Personal Project)
Analyzed PM2.5 levels across cities and countries to identify trends, pollution hotspots, and potential policy/environmental influences.
- •Performed exploratory analysis to compare PM2.5 patterns across locations and time windows.
- •Investigated regional hotspots and interpreted signals that may relate to environmental conditions or policy actions.
TourSafe - ML Tourism Planning Platform
Bachelor's dissertation project focused on forecasting arrivals, generating personalized travel recommendations, and improving fraud awareness for tourism operations.
- •I implemented a recommendation logic using content-based and collaborative filtering to personalize destination suggestions.
- •I implemented methodology that captures user preferences and returns ranked travel options through an interactive UI.
Automated SDG Classification of Research Publications Using NLP
Case study at the University of Cape Coast that maps faculty publications to UN SDGs to turn research output into actionable sustainability insights.
- •Built a keyword-based NLP classification workflow to systematically categorize publications by SDG relevance.
- •Developed the core classification engine using Python, Selenium, and BeautifulSoup to scrape and analyze publication abstracts.
Online Blood Bank Management System (Semester Project)
A web platform built to make blood donation and request coordination faster and more reliable by centralizing donor registration and blood request workflows.
- •Designed the UI and developed the frontend in React.
- •Implemented core features including donor registration forms and blood request forms.
Experience
Impact-driven roles and professional journey.
Data Science Specialist
Invisible Technologies
- Designed workflows and prompts that improved AI reasoning and real-world decision-making.
Advanced AI Data Trainer
Invisible Technologies
- Trained AI systems using reinforcement learning techniques (RLHF).
- Improved model accuracy and adaptability through reward-based optimization.
- Performed quality evaluation and error analysis on model outputs.
Research Intern
Big Data Research Lab
- Built NLP classification pipeline.
- Reduced noise by 25%, improving dataset quality and downstream model performance.
Founder & CTO
Trace Digital Hub
- Built and delivered 10+ websites for businesses.
- Led frontend development and system design.
- Improved client digital presence and engagement.
Additional Involvement
Skills
Structured technical expertise across the stack.