Andy Wieczorkiewicz

Brenda Nails Studio
Professional nail art studio website with complete serverless architecture on AWS. Features intelligent chatbot booking system, headless CMS for content management, and automated email/SMS notifications.

Key Features:
• Webiny Headless CMS - Client can edit all content without code
• Intelligent Chatbot - 85+ decision nodes for booking & FAQ
• Real-time Booking - Live availability & appointment creation
• Email Automation - Professional confirmations & notifications
• Serverless Architecture - AWS Lambda, DynamoDB, API Gateway
• Modern Frontend - Astro + React with GSAP animations
• Cost Efficient - £4-22/month vs £80-300/month traditional solutions

Tech Stack: Astro, React, TypeScript, Tailwind CSS, AWS (Lambda, DynamoDB, SES, SNS), Webiny CMS, Terraform IaC

TradePulse.AI
Fully autonomous AI-powered day trading platform with 86.5% accuracy. Features 6-layer neural network architecture, real-time Bitcoin analysis, and professional-grade risk management with autonomous Brain Controller orchestration.

Key Features:
• Autonomous Trading Engine - Zero manual intervention, 15-second analysis cycles
• 6-Layer AI Architecture - LSTM, CNN, and ensemble models with TensorFlow
• Real-time Analysis - Live Bitcoin data processing with <1ms decisions
• Professional Risk Management - 1.0% stop loss, 0.8% take profit, position sizing
• Brain Controller FSM - State management with complete audit trails
• Enterprise Dashboard - Real-time monitoring with advanced analytics
• AWS Infrastructure - Serverless architecture with Terraform IaC

Tech Stack: Python, FastAPI, TensorFlow, React, Astro, TypeScript, AWS (Lambda, DynamoDB, API Gateway), Terraform

Gazetteer API Application
An interactive web application that allows users to explore global geographical data. It provides information on country borders, weather, Wikipedia entries, and local time. The app integrates multiple APIs and features an intuitive map interface with dynamic markers and overlays.

Company Directory CRUD App
Developed a modular web-based system to manage personnel, departments, and office locations via a tabbed interface. Backend implemented in PHP with MySQL database integration, handling all CRUD operations through RESTful logic. Frontend built with JavaScript, Bootstrap, and jQuery, delivering a responsive UI and smooth user interactions. AJAX is used for asynchronous communication with the server, enabling real-time updates without page reloads.

Kanban Task Management App
A full-featured task management application with a modern drag-and-drop Kanban interface. Built with React 19 and Next.js 15, it supports server components, server actions, and real-time updates. Users can create and manage tasks, assign them to team members, and visually track progress across customizable workflows. Styled with Tailwind CSS and Shadcn UI, it includes dark mode, responsive design, and a fully type-safe PostgreSQL backend using Drizzle ORM.

Lottery Prediction System An advanced Python-based system that predicts lottery numbers using machine learning, deep learning, and statistical analysis. It processes historical data (1995–2025) through complementary methods:

✅ Ensemble Models – Combines LSTM, XGBoost, LightGBM, CatBoost, and statistical techniques.
✅ Deep Learning – LSTM and CNN-LSTM capture sequence patterns and dependencies.
✅ Statistical Analysis – ARIMA and Holt-Winters for time series forecasting.
✅ Feature Engineering – Builds 100+ features from frequency, patterns, and combinations.
✅ Monte Carlo Simulation – Produces diverse, probability-weighted number sets.

Built with TensorFlow, scikit-learn, and pandas, the system generates reliable, research-ready predictions. 🚀

Curriculum Vitae
Discover my journey as a Full Stack Developer with expertise in React, Node.js, AWS, and more. From building scalable APIs to deploying cloud-based solutions, my CV showcases my passion for creating impactful applications.