GenAI Engineer & Machine Learning Engineer
Led company-wide fine-tuning and adaptation of large language models (LLMs) using company data for nuanced tasks and improved GenAI outcomes. Utilized prompt engineering and model training best practices to enhance model performance, accuracy, and compliance. Integrated responsible governance, tracking, and compliance in all generative AI experiments and model updates. • Built and optimized retrieval-augmented generation (RAG) pipelines using LangChain and Hugging Face Transformers. • Fine-tuned LLMs (GPT-4, Llama, Claude, Gemini) for content generation, semantic search, and knowledge management use cases. • Managed real-time and batch AI training, drift detection, and retraining processes using MLflow and other internal tools. • Oversaw feature integration for labeled data via Feast and maintained experiment audit trails across the ML lifecycle.