AI Engineer – LLM Workflows and Fine-Tuning
TextFine Tuning
Worked on optimizing large language model (LLM) workflows specifically for inference, evaluation, and fine-tuning in production-grade applications. Participated in prompt engineering and model evaluation to enable effective automation for enterprise solutions. Contributed to fine-tuning LLMs, focusing on improving accuracy and task relevance based on business requirements.
• Performed iterative fine-tuning and evaluation of LLMs using proprietary datasets.
• Designed prompt templates and response evaluation criteria for AI models.
• Coordinated with product teams to identify training data gaps and suggest annotation tasks.
• Managed deployment-ready LLM pipelines optimized for business-specific use cases.
Worked on optimizing large language model (LLM) workflows specifically for inference, evaluation, and fine-tuning in production-grade applications. Participated in prompt engineering and model evaluation to enable effective automation for enterprise solutions. Contributed to fine-tuning LLMs, focusing on improving accuracy and task relevance based on business requirements. • Performed iterative fine-tuning and evaluation of LLMs using proprietary datasets. • Designed prompt templates and response evaluation criteria for AI models. • Coordinated with product teams to identify training data gaps and suggest annotation tasks. • Managed deployment-ready LLM pipelines optimized for business-specific use cases.
2025 - 2025