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
• Implemented a GRPO-based reinforcement learning pipeline for fine-tuning language and vision models on code completion and image-based IP violation detection
• Improved model accuracy from around 30% to over 90% for redacted medical message classification through architecture optimization and training refinements
• Refactored the training codebase for distributed multi-GPU systems, improving scalability and throughput for fine-tuning transformer models

Technologies & Skills

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