I am an AI Developer specializing in creating futuristic, high-performance applications that blend technology, creativity, and research. With a passion for machine learning and neural networks, I transform abstract concepts into tangible solutions that push the boundaries of what's possible.
My journey began in quantum computing research, where I developed algorithms for optimization problems. Since then, I've applied my expertise to diverse fields including natural language processing, computer vision, and generative AI, always striving to create systems that learn, adapt, and evolve.
Built an intelligent conversational AI system capable of human-like interactions using transformer architectures. The system understands context, emotion, and complex queries while maintaining a coherent dialogue across extended conversations.
Created a WebGL-based holographic portfolio experience using Three.js and GSAP. Features real-time 3D rendering, interactive elements, and smooth animations that respond to user interactions and scrolling behavior.
Published research on neural network optimizations for real-world large-scale applications. Developed novel algorithms that reduce training time by 40% while maintaining model accuracy across diverse datasets.
Implemented a vision transformer model for real-time object detection in video streams. Achieved state-of-the-art performance on benchmark datasets with optimized inference speed for edge devices.
Developed a generative adversarial network that creates unique digital artwork. The system learns artistic styles from classical paintings and generates novel compositions that blend multiple artistic movements.
Created a predictive analytics platform for financial markets using LSTM networks and reinforcement learning. The system analyzes historical data and real-time market signals to forecast trends with 85% accuracy.