👨💻 Oladapo Giwa-Daramola – Software Developer
Welcome to my portfolio! I’m a full-stack software engineer and AI researcher passionate about building production-grade software and applied AI tools that empower users and solve real-world problems. This GitHub page showcases my featured projects, skills, and contributions in blockchain, ML, DevOps, and full-stack development.
🚀 Featured Projects
🧠 Nourish Genie (AI Nutrition App)
A vision-powered wellness tracker with:
- 📷 AI-powered food recognition (OpenAI Vision)
- ⚙️ Microservices: FastAPI, Flask, Spring Boot
- 📱 Kotlin Android App (Jetpack Compose, MVVM)
- 🎯 Gamification system (Badges, Streaks)
- 💳 Stripe & OAuth2 integration
📘 Documentation
Proof-of-Stake blockchain with privacy-first features:
- 🧱 Modular architecture (Python, Flask, SQLite)
- 🔐 Authentication system with 2FA & JWT
- 🕵️♂️ Confidential, time-delayed, and selective disclosure transactions
- 🐳 Docker + Redis + Secure APIs
🔗 Repository
🐕 DogeJunior Token (Next-Gen Meme Coin)
ERC20 token with AI-anti-bot and quadratic governance:
- 🛡️ Anti-bot AI with whale tracking
- 📈 Progressive taxation & dynamic fee redistribution
- 🧮 Quadratic voting for governance
- 🔁 Auto-compounding LP rewards
- 🔍 Alerts via Discord/Telegram (Docker-based)
🔗 Repository
🎾 Sports Prediction System (AI ML-powered)
- 🔮 Predicts outcomes in Tennis, NFL, Football (in progress), Basketball (in training)
- 📊 Advanced statistical modeling & historical datasets
- 🧠 PyTorch-based classifiers and reinforcement models
- 🏅 Tennis model highest accuracy (>90%)
(Private repo — demo available on request)
📈 Intelligent Stock Trader (AI for Crypto & Equity Markets)
- 💹 XGBoost, LSTM, and sentiment classifiers (TextBlob, Twitter)
- 📊 Predictive analytics for DOGEUSDT — 8,000% simulated ROI
- 📺 Streamlit-based UI + Colab integration
- 📘 NLP + Price analysis hybrid models
🔗 Stock Pred Repo
🧪 Data Science & Public Health Analytics
- 📊 Explored chronic disease correlations with BMI, hypertension, and smoking history
- 🧹 Data wrangling, visualization, feature engineering with Python (Pandas, Seaborn, NumPy)
- 🤖 Classification with logistic regression & Naive Bayes
- 🎯 Built actionable insights to support public health policy
🔗 Data Science Project
Built in collaboration: DevOps_com619
- 🔐 Implemented backend services: login/signup, user auth
- 🌍 Configured NGINX reverse proxy and SSL certificates
- 🌐 Partial implementation of i18n localization
- 📦 Dockerized microservices and deployed on remote infrastructure
🗣️ LinguaViva (Final Year Thesis – NLP)
An AI language tutor platform based on BERT and HuggingFace Transformers:
- 🧠 Fine-tuned transformer models for language classification tasks
- 🧪 NLP performance optimization via hyperparameter tuning
- 🤝 Collaborative coding and deployment on Google Colab
- 📚 Focused on education and language learning use cases
🔗 Colab Demo
💼 Resume Highlights
Education: BSc (Hons) Software Engineering, Solent University
Core Expertise:
- Languages: Python, Java, Kotlin, JS/React, Solidity
- DevOps: Docker, GitHub Actions, CI/CD, Azure
- Databases: PostgreSQL, Redis, SQLite, MongoDB
- ML Tools: PyTorch, TensorFlow, HuggingFace, scikit-learn
- Blockchain: Solidity, Web3, BSC, Ethereum
Certifications & Memberships:
- Member – IEEE, IET, British Computing Society
- Contributor – multiple open-source AI/DeFi projects
📄 Download My CV