AI & Machine Learning
Supervised and unsupervised learning, CNNs, LSTMs, model evaluation, preprocessing, exploratory analysis
Open to internships and collaborations
I build practical AI, data, and software solutions.
AI Builder · Software Developer · Data Science Student
I’m John, a University of Ottawa Computer Science student focused on turning complex data and real-world problems into useful, understandable technology.
- Ottawa, CanadaBased in
- June 2027Expected graduation
- Canada + AfricaLong-term impact
Currently building
AI-powered climate and crop insights
About
Technology should solve a problem people actually have.
I’m completing an Honours Bachelor of Computer Science in the Data Science option at the University of Ottawa. My work sits at the intersection of artificial intelligence, software engineering, databases, and data analysis—with a growing focus on systems that connect models to usable products.
I enjoy moving through the full problem-solving cycle: understanding requirements, preparing data, developing and evaluating models, building interfaces, and documenting what I learn. My current honours project brings that approach together through microclimate forecasting and crop-yield analysis.
Long term, I want to create responsible, useful technology for communities and organizations in both Canada and Africa. I’m building that path honestly—one tested project, deeper technical skill, and meaningful collaboration at a time.
How I build
A clear path from question to evidence.
- 01
Understand
Define the real problem, users, constraints, and success criteria.
- 02
Research
Study requirements, data, comparable solutions, and technical risks.
- 03
Design
Choose a focused architecture and map the experience before building.
- 04
Build
Develop the smallest useful prototype with clean, maintainable code.
- 05
Improve
Test behaviour, measure results, and iterate from real evidence.
- 06
Document
Explain decisions, limitations, results, and the next opportunity.
Capabilities
Technical range, organized around outcomes.
I use the tools a problem requires and keep learning where the work demands more depth.
Data & Databases
PostgreSQL, MySQL, SQLite, relational design, SQL optimization, data visualization
Software & Web
React, Vue, TypeScript, JavaScript, HTML, CSS, Bootstrap, responsive interfaces
Programming
Python, Java, SQL, JavaScript, TypeScript, C
Automation & Integration
Data pipelines, APIs, workflow integration, model-to-application delivery
Development Tools
Git, GitHub, Linux, Jupyter, VS Code, IntelliJ IDEA, Android Studio
Selected work
Projects with a problem behind them.
From machine-learning pipelines to database internals and product interfaces.
Honours project · Featured
Microclimate Forecasting & Crop-Yield Intelligence
An end-to-end research and software project connecting CNN/LSTM weather forecasts to a crop model, then measuring how short-term temperature predictions affect simulated yield outcomes.
- My focus
- Weather-model integration, crop-model pipeline, multi-year evaluation, and application interface
- Approach
- Predict three-day average temperatures, inject them into the crop-weather series, and compare baseline against hybrid yield
- Evidence
- Evaluation across nine available years with MAE, RMSE, yield delta, comparison files, and diagnostic charts
Database systems
PostgreSQL Symmetric Hash Join
Implemented a symmetric hash join within PostgreSQL to explore streaming join behaviour, dual hash-table maintenance, and database execution trade-offs.
Android application
Event Attendance Management System
A multi-role event platform supporting administrator, organizer, and attendee workflows across registration, approval, cancellation, search, and event management.
Data visualization
MLS Player Analytics Dashboard
An interactive dashboard for filtering and comparing Major League Soccer player performance data.
Open live dashboard
Web application
Antipas Electronics Store
A responsive e-commerce experience focused on product discovery, clear categories, and an approachable purchase journey.
Open live applicationDirection
Where I’m building next.
Active areas of learning and long-term professional direction—not finished claims.
AI Automation
Connecting models, data, and repeatable workflows to reduce manual work responsibly.
AI Applications & SaaS
Turning useful model capabilities into dependable, understandable software products.
AI Consulting
Learning how to identify valuable use cases and guide practical, low-risk adoption.
AI for Africa
Exploring tools for agriculture, education, operations, and access across African contexts.
Current roadmap
Manyang AI Portfolio Platform
This site is a product in progress: a credible professional foundation today, with a measured path toward useful AI capabilities.
- V1Professional foundationCurrent
- V2AI portfolio assistantPlanned
- V3RAG knowledge basePlanned
- V4Automated inquiriesFuture
- V5Business AI demosFuture
Education
University of Ottawa
Honours Bachelor of Computer Science
Data Science option · Expected June 2027
Relevant areas of study
- Artificial Intelligence & Machine Learning
- Database Systems & Query Processing
- Algorithms & Data Structures
- Data Science & Statistical Analysis
- Software Engineering
In progress IBM Introduction to Machine Learning — Coursera
Contact
Let’s build something useful.
I’m open to internships, junior opportunities, research collaborations, mentorship, and thoughtful conversations about AI, data, and software.