Featured AI & ML Projects

Developed an end-to-end platform for fine-tuning LLMs on custom datasets. Reduced training costs by 40% using LoRA adapters and quantization. The system supports GPT, BERT, and T5 variants with automated evaluation pipelines.

Built a state-of-the-art image generation system using diffusion models and GANs. The system can generate high-quality images from text prompts with fine-grained control over style, composition, and artistic elements. Achieved FID score of 8.5 on benchmark datasets.

Designed a scalable ML platform processing 50k+ events per second with sub-10ms latency. The system leverages distributed computing for real-time predictions and includes an automated retraining framework that improved model freshness by 200%.

Developed a deep learning system for automated medical image analysis, achieving 94% diagnostic accuracy. The model uses CNNs and attention mechanisms to detect anomalies, reducing manual review time for radiologists by approximately 30%.

Created an advanced conversational AI system using RAG (Retrieval-Augmented Generation). The assistant handles multi-turn conversations with context retention, reducing customer support ticket volume by 45% in pilot testing.