am a data scientist and engineer specializing in Generative AI, machine learning, and modern data technologies. My work combines a strong foundation in data science with hands-on experience in LLM integration, prompt engineering, and advanced AI pipelines. I design and implement solutions that go beyond predictive modeling — from building intelligent applications with structured outputs and function calling to creating scalable systems on cloud platforms. Proficient in Python, R, SQL, and modern AI frameworks, I work with tools like Transformers, Scikit-learn, TensorFlow, PyTorch, and cloud-native services on AWS, GCP, and Azure. I also bring experience with data visualization (Tableau, Power BI, D3.js) and big data technologies (Spark, Hadoop). Passionate about emerging technologies, I stay ahead of the curve in AI research and applications, delivering solutions that are both innovative and impactful. My focus is on helping clients leverage the latest advances in GenAI and data engineering to unlock value, optimize processes, and drive measurable business outcomes.