My Projects
A collection of my recent work and projects.
Technical Stack
Project Goal
To resolve critical mobile layout bugs and significantly improve site performance and Core Web Vitals for an e-commerce platform with a large asset library of over 17,000 images.
Key Accomplishments & Problem-Solving
Responsive Design & Mobile UI Repair
Performed deep CSS debugging to resolve media query conflicts, ensuring 100% visibility of the logo and mobile menu on all mobile devices and browsers.
High-Scale Next-Gen Image Migration
Executed a background optimization strategy to convert over 17,000 images to WebP format, with critical asset exclusions to maintain brand integrity.
Overcoming Advanced Server Security Blocks
Engineered a bypass using client-side JS WebP Rewriting to deliver lightweight images without requiring server-level changes, successfully navigating strict security protocols that blocked standard methods.
Database-Level Emergency Recovery
Utilized WP-CLI for emergency database surgery to force a 'Safe Mode' bypass, clearing corrupted plugin options via the terminal to immediately restore site availability after a critical error loop.
Optimized Caching & Delivery
Implemented a multi-layered caching strategy including asset minification, intelligent lazy loading, and global cache purging to enhance load speed and ensure real-time propagation of fixes.
Final Results
Successfully transformed a heavy, bug-prone mobile experience into a high-performance, stable platform. The site now utilizes next-generation image formats and optimized delivery methods that work in harmony with high-security hosting environments, ensuring a fast and reliable experience for all users.
Tech Stack
Project Goal
To engineer a fully autonomous, 24/7 social media marketing agent that moves beyond simple scheduling. The system is designed to intelligently source, create, and publish content using a Hybrid Retrieval-Augmented Generation (RAG) Architecture, ensuring resilience and relevance.
Key Features
Live Intelligence Gathering
Scrapes real-time web data to discover breaking industry news and relevant topics, ensuring content is always timely.
Contextual Content Synthesis
Uses Google's Gemini to synthesize long-form articles and reports into engaging, platform-specific threaded conversations.
Generative Visuals
Autonomously prompts DALL-E 3 to create context-aware memes and promotional imagery that align with the generated text.
Self-Healing Architecture
Features a robust try-except-cache loop. If an API rate limit or connection drop occurs, the system caches the content and retries, ensuring zero data loss.
Outcome
The agent successfully runs continuously on a Linux server, autonomously generating and posting high-quality, relevant content to social media platforms like Twitter and LinkedIn. Its self-healing capabilities have proven effective in handling network and API interruptions, resulting in a truly hands-off marketing automation solution.
Tech Stack
Project Goal
To develop a fast-paced, responsive web game, demonstrating proficiency in front-end development, game logic implementation, and real-time database integration for a global leaderboard.
Key Features
Real-Time Rendering Loop
Utilized the HTML5 Canvas API and `requestAnimationFrame` for a smooth, high-performance game loop, independent of React's render cycle.
Advanced State Management
Leveraged React Hooks (`useState`, `useRef`, `useCallback`) for efficient state management and to prevent re-renders during active gameplay.
Global Leaderboard
Implemented a global leaderboard using Firestore, including secure data submission and real-time score updates.
Responsive Controls
Created a seamless user experience with intuitive controls across both desktop (keyboard) and mobile (touch) devices.
Future Expansion
This project serves as a foundation for more complex web-based games. Future plans include adding power-ups, more enemy types, and progressively difficult levels to enhance gameplay depth.
Tech Stack
Project Goal
To develop a sophisticated algorithmic trading bot that executes trades based on custom strategies written in Pine Script. This bot is designed to automate trading decisions and capitalize on market opportunities 24/7.
Key Features
Custom Strategy Development
Leverages Pine Script to create and implement complex, custom-tailored trading strategies from the ground up.
TradingView Integration
Seamlessly integrates with TradingView for real-time charting, analysis, and alert-based trade execution.
Automated Execution
The bot autonomously executes trades when market conditions meet predefined criteria in the Pine Script strategies, operating 24/7.
Robust Backtesting
Utilizes Backtesting.py and Python to rigorously test and optimize trading strategies against historical data, ensuring viability and performance before deployment.
Outcome
The resulting system provides a powerful framework for quantitative trading, enabling rapid prototyping and validation of complex strategies. It successfully automates the entire workflow from idea to execution.