JOSHUA UZUEGBU IZUCHUKWU

Built and deployed a cryptocurrency monitoring bot at UtopiaDAO using FastAPI and Python that automatically finds good trading opportunities in the memecoin market. The bot pulls data from DexScreener API, analyzes it for important signals, and sends real-time alerts to Telegram channels.

• Developed a system that monitors live markets for over seven trading signal patterns with configurable settings.
• Built a priority based notification system that sorts signals into high/medium/low importance, scores each signal.
• Designed the bot with separate service modules (DexScreener, Telegram, MongoDB, Signal Detection) using FastAPI, making it easy to update.
• Added performance tracking features for daily summaries of signals.
• Connected MongoDB database to store token history, past alerts, and comparison data for pattern analysis.
• Implemented efficient caching mechanism to store API responses and reduce repeated calls to DexScreener endpoints, staying within rate limits while maintaining real-time data accuracy.

Developed and deployed Devsearch, a full-stack web platform enabling developers to showcase projects, share skills, and facilitate peer-to-peer communication through robust authentication and messaging functionalities. Built the backend using Python and Django with RESTful API architecture, and created an interactive frontend using HTML, CSS, and JavaScript for dynamic user interactions. Migrated database infrastructure from AWS Postgres to Supabase after encountering unexpected billing issues, and integrated AWS S3 with IAM for scalable image storage and sharing. Deployed the application on Railway with live API endpoints accessible at devsearch-production-8bea.up.railway.app/api.

A modified copula-based pair trading strategy that allows users to supply their own historical price data instead of relying on Binance API feeds. The system uses statistical copula methods to identify and exploit mean-reverting relationships between cryptocurrency trading pairs.

A trading system that executes multiple quantitative strategies (Bollinger Bands and Moving Average) on Binance, automatically rebalancing positions based on portfolio optimization. The system leverages Python's asyncio for efficient concurrent operations and object-oriented design patterns (class inheritance)

Engineered a Hyperliquid Screener using the Hyperliquid Liquid SDK to retrieve real-time price data for cryptocurrencies in perpetual markets, providing on-demand insights.

Developed a computer vision project focused on advanced text extraction from diverse image sources, demonstrating expertise in image processing and data retrieval.