Full-Stack Developer · Blockchain Engineer · Crypto Tools · AI & Data Enthusiast

• 🧵 Building web experiences and brands (Iyke Clothing Brand)
• 🏦 Developing decentralized finance solutions with blockchain technology
• 🧮 Creating analytics tools for memecoins and on-chain insights
• 🤖 Exploring AI-powered football predictions with Python and ML
• 🌍 Open to collaborations on web apps, crypto tools, and data projects

HTML, Tailwind CSS, JavaScript (ES6+), React, Responsive Design

Node.js, Express.js, REST APIs, Webhooks, Django, Fast API, Authentication (JWT/Auth.js)

Solidity, Smart Contracts, ERC20 Tokens, Ethereum, Web3.js

MongoDB, Mongoose, Database Design, Query Optimization, PostgreSQL

Paystack, Stripe, Payment Webhooks, Transaction Management

Render, Vercel, Netlify, Streamlit Cloud, Cloudflare, CI/CD basics, Environment Variables

Python, NumPy, pandas, scikit-learn, RandomForest, Data Cleaning, Model Evaluation

Gemini API, Third‑party REST APIs, Web3/crypto data APIs (GoPlus, DexScreener)

Streamlit, Git, GitHub, Postman, Remix IDE, VS Code, npm, Bash/Terminal

A decentralized banking platform featuring the IYKESOL token with integrated loan systems.

• Tech: Solidity, React, Node.js, Express.js, MongoDB, JWT, Web3.js
• Blockchain: Custom ERC20 token (IYKESOL) deployed on Ethereum
• Features:
  • Smart contract-based token creation and management
  • User authentication and wallet integration
  • Loan request and approval system
  • Real-time token balance tracking
  • Secure transaction handling with blockchain verification
• Focus: Bridging traditional banking features with decentralized finance (DeFi)
• Live Demo: iykesol-crypto-bank.vercel.app

A modern clothing brand website showcasing products and brand identity.

• Tech: HTML, Tailwind CSS, Node.js, Express.js, MongoDB, Paystack, Payment Webhooks, JWT, Render
• Focus: Clean UI, responsive layout, and scalable backend for future e‑commerce features
• Live Demo: iyke-clothing-store.onrender.com

A memecoin token scanner to analyze and detect risky tokens and key holders.

• Features:
  • Scans tokens to identify potential honeypots
  • Fetches and shows top 10 holders
  • Integrates with GoPlus and DexScreener data
• Use case: Quick due diligence for new or trending memecoins
• Live Demo: tokenshield.netlify.app

An AI-powered predictor for major European football leagues.

• Tech: Python, Streamlit, Gemini API, RandomForest, scikit-learn, NumPy
• Features:
  • Predicts match outcomes using machine learning
  • Simple web interface built with Streamlit
  • Integrates LLM (Gemini API) for insights and explanations
• Live Demo: top5-league-predictor.streamlit.app

• 🌎 Portfolio: iykesol-portfolio.netlify.app
• 💼 LinkedIn: linkedin.com/in/kalu-ikechukwu-4730683a1
• 🐦 X (Twitter): @agbaghsol
• 📧 Email: ikegold9@gmail.com

Thanks for stopping by, feel free to check out the projects above or reach out for collaborations!