I am a results-driven software engineer with a passion for building AI-powered solutions that deliver real business impact. I specialize in designing scalable, cloud-native microservices and AI/ML integrations using Python, Java, and C++, with hands-on experience deploying on AWS, GCP, and Azure. I thrive on turning data into actionable insights through LLMs, PyTorch, TensorFlow, and Hugging Face, while maintaining a strong focus on reliability, security, and ethics in AI.
I enjoy collaborating across cross-functional teams to solve complex problems, optimize data workflows, and ensure regulatory compliance in healthcare analytics. My goal is to deliver high-performance software that enables informed decision-making and measurable outcomes for customers.
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