Senior-level execution across applied AI, ML platforms, and product delivery.

I work across the full AI delivery stack: data pipelines, experimentation, model fine-tuning, inference optimization, deployment, and monitoring. My recent work spans enterprise chatbots, speech-to-text systems, semantic search, video intelligence, and production recommendation engines.

The focus is consistent: ship systems that are reliable, cost-aware, and tied to business outcomes rather than demos. That includes LoRA/QLoRA fine-tuning, vector retrieval, real-time inference workflows, and ML platform practices such as CI/CD, MLflow, and experiment tracking.