I’m a Tech Leader and AI Practitioner passionate about bridging the gap between advanced data science and practical business applications. With a solid foundation in Machine Learning, LLMs, NLP, Computer Vision, and Generative AI, I’ve led initiatives that leverage cloud-native platforms (Azure, GCP) and frameworks like LangChain, Hugging Face, PyTorch, and TensorFlow to solve complex problems at scale. Throughout my career, I’ve: Built and deployed LLM-based systems (GPT, Gemini Pro, BERT) with optimized RAG pipelines and agentic workflows. Architected multi-agent ecosystems, enabling autonomous collaboration between AI systems for enterprise use cases. Delivered AI models that reduced token costs by 40%, increased operational efficiency by 50%, and improved decision-making accuracy. Mentored data teams, conducted AI workshops, and aligned cross-functional stakeholders to drive adoption and measurable ROI. I hold certifications from Microsoft (Azure AI Engineer, Azure Data Scientist), Google (Professional Data Engineer, Cloud Digital Leader), and Databricks (Data Engineer Professional) — and continuously explore innovations in RAG, prompt engineering, and agentic intelligence.