I’m an AI/ML Engineer with 4+ years of experience designing, deploying, and optimizing machine learning and NLP solutions across finance and healthcare. I’m proficient in Python, TensorFlow, PyTorch, and Hugging Face, and I have a track record of building scalable data pipelines, feature engineering, and production deployments using AWS, Azure, Docker, and Kubernetes. I turn complex data into actionable insights that improve decision-making and drive business value.
I thrive in cross-functional, collaborative teams—partnering with product managers, data engineers, and risk/compliance to deliver measurable improvements from fraud detection to patient risk prediction. I’m passionate about model optimization, integration of LLMs, and responsible AI practices, with a focus on delivering practical, impact-driven solutions.
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