I am an AI/ML Engineer with 5 years of experience designing scalable solutions using Python, PySpark, SQL, TensorFlow, PyTorch, and Hugging Face. I specialize in supervised learning, NLP, recommendation systems, and time series forecasting, delivering reliable models and robust data pipelines across finance, consulting, and media domains.
My hands-on experience spans Databricks, MLflow, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I focus on incremental improvements to data pipelines and model deployment, with a track record of boosting predictive accuracy and deployment reliability, while maintaining reproducibility and scalable CI/CD workflows.
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