John Daniel

Background

About John Daniel

AI/ML Developer | Agentic AI & Prompt Engineering | Azure ML & NLP Solutions I am an AI/ML Developer and Prompt Engineer passionate about building intelligent systems that solve real-world business problems. My expertise spans Agentic AI, Natural Language Processing, Machine Learning pipelines, and Microsoft Azure ML deployments, where I design and deliver scalable solutions that transform unstructured data into actionable insights. I specialize in: Agentic AI & Prompt Engineering – crafting autonomous NLP workflows that self-assess performance, trigger retraining, and continuously improve without manual intervention. AI Solution Design & Deployment – operationalizing end-to-end pipelines in Azure Machine Learning with environment setup, SDK-based model training, managed online endpoints, and FastAPI integrations. NLP & LLM Applications – building multi-label text classification models, semantic recommendation systems, and AI-driven coaching assistants using GPT, LLaMA, and Ada embeddings. Scalable Automation – reducing manual effort by automating embedding generation, model evaluation, and content curation — enabling businesses to accelerate decision-making and personalization. My foundation in enterprise-scale software engineering gives me a strong grasp of structured systems, data governance, and process excellence, which I now channel into delivering cutting-edge AI solutions. Driven by curiosity and innovation, I actively share research, thought leadership, and practical AI experiments across LinkedIn, Medium, and GitHub — bridging the gap between business needs and AI capabilities.