Hello 👋

Welcome to my showroom!

I am a Product-Minded Software Engineer and an MS in Electrical & Computer Engineering candidate at CU Boulder. With a unique background blending 7 years of rigorous technical editing with full-stack architecture, I specialize in designing, building, and deploying scalable web applications using Python, Django, and PostgreSQL.

I thrive on solving complex backend problems—like high-concurrency database design and state management—while delivering hyper-performant, lightweight frontends.

---

Featured Engineering Projects

1. ShelterTree | Lead Full-Stack Engineer

A pan-African property intelligence and review platform. Live Site Deployed on Render | GitHub Repo

• Tech Stack: Python, Django, PostgreSQL, HTMX, Docker, Render, AWS S3
• Architecture: Engineered a hybrid PostgreSQL search engine utilizing SearchVector and SearchRank for highly accurate lexical matching without the overhead of Elasticsearch.
• Key Feature: Designed a “Lazy Registration” funnel using Django Sessions and Signals for a “Trusted Handoff,” instantly migrating orphaned user-generated data to new accounts post-authentication.
• Performance: Eliminated N+1 query bottlenecks using Django’s OuterRef and Subquery, and achieved sub-100ms UI updates using HTMX instead of a heavy JavaScript SPA.

2. HitchARide | Full-Stack Engineer

A cost-sharing carpooling platform tailored for the African megacity market. GitHub Repo

• Tech Stack: Python, Django, PostgreSQL, Mapbox GL JS, Google Maps API
• Data Integrity: Prevented race conditions in high-concurrency environments by implementing database-level locking (select_for_update()) and atomic transactions for the seat-booking engine.
• Integrations: Decoded Google Encoded Polylines and rendered dynamic routes using Mapbox GL JS, abstracting the API layer to prevent vendor lock-in.
• Automation: Built automated state machines and custom batch-processing scripts using yield iterators to manage trip expirations and prevent memory leaks.

---

AI, Data & API Projects

3. Predictive Modeling & FLASK Deployment of Wind-Energy Generation Using Time Series and Regression Analyses

GitHub Repo

• Tech Stack: Python, Flask, XGBoost, Time Series Analysis
• Developed XGBOOST-trained ML models to forecast wind energy generation and deployed the model using a Flask web application, creating an interactive endpoint that delivers real-time energy predictions.

4. Celebrity Identification Using Prompt Engineering via Google Gemini API

GitHub Repo

• Tech Stack: Python, Google Gemini 2.0 Flash API, IPyWidgets
• Developed an AI-powered recognition system demonstrating expertise in prompt engineering, image analysis, and secure LLM API integration.

5. SpaceX Launch Analysis and Landing Predictions

GitHub Repo | Full PDF Report

• Tech Stack: Python, Dash/Plotly, REST APIs, SQL
• Built an interactive Dash web application with real-time visualizations (maps and graphs) leveraging REST APIs and web scraping for data collection.

---

Core Competencies

• Backend & APIs: Python, Django, Flask, RESTful APIs, System Architecture
• Frontend: JavaScript (ES6+), HTMX, HTML5, CSS3/SCSS, Bootstrap 5
• Databases: PostgreSQL (Full-Text Search, Aggregations), SQL, NoSQL
• DevOps & Infrastructure: Docker, AWS S3, Render, Git/GitHub, CI/CD
• AI & Data: LLM Integrations (Gemini API), Pandas, NumPy, Scikit-Learn

Education

• Master of Science in Electrical and Computer Engineering

  University of Colorado Boulder (Expected Dec 2028)

• Bachelor of Science in Chemistry (Honors)

  University of Ilorin, Nigeria (2013–2017)

• Certifications: ChatGPT Prompt Engineering (DeepLearning.AI) | Foundations of Data Structures and Algorithms (CU Boulder)) | Trees and Graph DSA (CU Boulder) | IBM Data Science Professional Certificate