Developed and fine-tuned language and vision-language models for client-specific applications at Emissary AI.

Responsibilities

• Developed and fine-tuned language and vision-language models for client-specific applications, including code completion and image-based IP violation detection
• Improved model accuracy from around 30% to over 90% for medical message classification through architecture optimization and training refinements
• Optimized training pipeline for distributed multi-GPU systems, improving scalability and throughput

Technologies & Skills

• Large language models and vision-language models
• Model fine-tuning and architecture optimization
• Distributed multi-GPU training
• Python, PyTorch, and deep learning frameworks