Software engineer and AI researcher with an MSc in Computer Science (Merit, St Mary's University). I ship production full-stack systems, build machine-learning and computer-vision models, and run independent research through GestureKey. My Merit dissertation applied Random Forest and cross-validation across 47 international case studies. Currently Technology & Product Manager at The International Lens, and open to PhD and research positions as well as software engineering, data, and product roles.
I am a software engineer and AI researcher with an MSc in Computer Science (Merit, St Mary's University). My work spans full-stack web development, machine learning, computer vision, and original research, applied to real products and to rigorous analysis.
I designed and delivered complete web systems for clients and independently built and launched KraaFo, a live SaaS product, owning the full lifecycle: requirements, UX design, development, deployment, and maintenance. Alongside that I run GestureKey, an independent computer-vision sign language recognition project with accessibility at its core, and my Merit MSc dissertation applied Random Forest and a cross-validation framework across 47 international case studies.
I currently work as Technology & Product Manager at The International Lens, and I co-founded Vision’97, an independent streetwear brand shipping worldwide. I am open to PhD and research positions, and to software engineering, data, and product roles.
| Languages | Python JavaScript SQL Java TypeScript HTML / CSS |
| AI & ML | Machine Learning Computer Vision scikit-learn NLP & Text Analysis LLM Integration OCR Random Forest Model Evaluation LLMs |
| Data & Analytics | Pandas Power BI Tableau Regression Modelling Statistical Inference EDA Data Visualisation |
| Web & Software | Full-Stack Dev REST APIs React Node.js Express Tailwind CSS Vite React Native MongoDB SQLite Firebase Software Architecture |
| Tools & Platforms | Git & GitHub VS Code Puppeteer Microsoft Azure Relational Databases Cisco / VLAN |
| Research & Design | Systematic Analysis Cross-Validation Technical Writing UI/UX Design |
| Product & Leadership | Product Management Product Strategy Product Lifecycle Management Roadmapping Technical Leadership Digital Transformation Digital Product Development Stakeholder Management Cross-Functional Delivery |
End-to-end full-stack system for a hotel client. Built a customer-facing booking and enquiry platform, a staff backend for managing reservations and generating receipts, and an admin dashboard with live analytics, booking history, and activity tracking. Handled full deployment, domain setup, and professional email configuration.
Consulting engagement with a Ghanaian property firm. Analysed booking patterns across two short-stay properties, identified overpricing as the root cause of low occupancy, and delivered a data-driven repricing strategy. After the change the client reported a substantial revenue increase, with Barekese occupancy rising from 18% to 58%. Built end-to-end: Python EDA → Excel workbook → Power BI & Tableau dashboards → live interactive Plotly Dash app deployed on Render.
Professional frontend for a cleaning and fumigation company. Built the full customer-facing site including service showcase, enquiry system, and mobile-responsive UX.
Free SaaS web app for freelancers and service businesses to create branded professional invoices, receipts, and quotes in under a minute, with no account required. Features AI-powered smart fill (Groq/Llama 3), live PDF previews via Puppeteer, OCR document import, email delivery, multi-currency support across 12+ industries, and a client address book.
Independent research project: a computer vision system classifying sign language gestures from image datasets. Applies preprocessing pipelines, ML models, and iterative evaluation, targeting real-world accessibility impact.
End-to-end AI-powered learning platform with 8 career tracks, a built-in AI tutor, career readiness scoring, gamification rewards, and a Pomodoro productivity timer, all designed to take users from zero to job-ready.
Real-world courier and package tracking web app with a live tracking timeline, multi-page site, admin dashboard, and dark mode. Built with React, Vite, and Tailwind CSS.
AI-powered tool that reads legal contracts and returns plain-English summaries, highlights risk clauses, and rewrites problematic sections, making legal documents accessible to anyone.
Official website for a UK & Ghana-based charity that provides wheelchairs, hearing aids, prosthetics, and adaptive equipment to people with disabilities across Africa. Full frontend with charity mission, impact stories, and donation pathways.
A Python + Pygame dark fantasy simulation: become a hunter, outwit the knights, collect the treasure. Three game modes, boss waves, and 25 unlockable achievements. Compiled to WebAssembly via Pygbag and playable in any browser, no install required.
GestureKey is an independent AI research project building a computer vision system that classifies hand gestures in real time. The demo below runs entirely in your browser using MediaPipe Hands, so no data ever leaves your device.
Independent research project building a machine learning system to recognise and classify sign language gestures from image datasets. The system applies image preprocessing pipelines, feature extraction, and classification models trained on labelled gesture data, iterating on model accuracy and generalisation to work toward a real-world assistive tool for the deaf and hard-of-hearing community. Research combines computer vision techniques with accessibility-focused evaluation criteria.
Systematic analysis of 47 published case studies across North American, European, and Asia-Pacific residential property markets. Applied Random Forest modelling, regression analysis, and time series analysis alongside a cross-validation framework with uncertainty quantification to assess how digital systems affect operational efficiency across diverse organisational contexts.
Building a computer vision system that classifies sign language gestures from image data, with the goal of creating an accessible, real-world assistive tool for the deaf and hard-of-hearing community. Combining image preprocessing, feature extraction, and ML classification, iterating toward a system that generalises reliably across diverse gesture inputs.
Co-founder and lead designer of an independent streetwear brand shipping worldwide. Continuously working on new collections, brand identity, and the e-commerce experience at vision97.vision.
Working through the Google Data Analytics Professional Certificate on Coursera, deepening skills in R, advanced statistical analysis, and structured data workflows to complement existing Python and ML expertise.
Frederick delivered exactly what we needed, a complete web system, built and deployed from scratch, that our whole team uses every day. Professional, reliable, and genuinely understood what we were trying to achieve.
Working with Frederick was seamless from start to finish. He built us a website that genuinely represents our brand: professional, clean, and it just works. Our enquiries have gone up since we launched and our clients tell us it looks great. We couldn't be happier.
Frederick's work on GestureKey genuinely surprised me: the fact that it runs in a browser with no setup, detects hand gestures in real time, and is entirely his own build says a lot about what he's capable of. He doesn't just talk about building things, he actually ships them.
What stands out about Frederick's work is the breadth: full-stack systems, data analytics, AI research. When he showed me the portfolio I was impressed by how practical and production-ready everything looked. Someone who can go from a client brief to a live system independently is exactly what the industry needs.
When I started GestureKey, I assumed the hard part would be the model architecture. It wasn't. The hard part was the data: specifically, how inconsistent lighting, hand angle, and background noise in labelled datasets can silently destroy your model's ability to generalise. Here's what the first few months of building an accessibility-focused computer vision system taught me about the gap between benchmark accuracy and real-world performance.
Most portfolio pages say "built a full-stack system." This is what that actually meant, the data model, the API structure, how I handled the admin dashboard without a dedicated analytics service, and the decisions I'd make differently next time.
Running a cross-validation framework across 47 international case studies sounds clean on a CV. The reality involved messy data, conflicting methodologies across papers, and a lot of decisions about how to handle uncertainty quantification when your sources disagree. A reflection on the research process.
Open to PhD and research positions, software engineering, data, and product roles.
I'm interested in PhD and research opportunities in AI and computer vision, and equally in engineering, data, and product teams where I can build across the stack, work with data, or take a product from brief to delivery. I work remotely and I'm open to relocation. Research collaborations welcome too.
If something on this page caught your attention, reach out directly at opokufred32@gmail.com or connect on LinkedIn. References available on request.