I'm Mark Zha, an AI Engineer with a focus on turning unstructured user-generated content into actionable business insights using Python, Java, SQL, and large language models on the Spark platform. I design and refine annotation processes, craft structured prompts for location tagging and classification, and collaborate with product stakeholders to align AI capabilities with business goals. My work emphasizes measurable impact on content discovery and user engagement, with a track record of improving accuracy and reducing manual intervention. I enjoy bridging research and product, leading knowledge sharing, and delivering scalable, efficient solutions. Highlights include achieving 90% classification accuracy on a fine-tuned model, 2 ms latency for sarcasm detection deployments, and building end-to-end data processing pipelines on AWS/SageMaker and Spark/DSPy-based few-shot tuning.…I'm Mark Zha, an AI Engineer with a focus on turning unstructured user-generated content into actionable business insights using Python, Java, SQL, and large language models on the Spark platform. I design and refine annotation processes, craft structured prompts for location tagging and classification, and collaborate with product stakeholders to align AI capabilities with business goals. My work emphasizes measurable impact on content discovery and user engagement, with a track record of improving accuracy and reducing manual intervention. I enjoy bridging research and product, leading knowledge sharing, and delivering scalable, efficient solutions. Highlights include achieving 90% classification accuracy on a fine-tuned model, 2 ms latency for sarcasm detection deployments, and building end-to-end data processing pipelines on AWS/SageMaker and Spark/DSPy-based few-shot tuning.WWWW…