Machine Learning Engineer with 10+ years deploying ML/AI systems in production, specializing in end-to-end delivery with strong Python skills and hands-on deep learning using PyTorch and TensorFlow. I build and maintain scalable data pipelines and production-grade APIs, with a focus on reliability, evaluation, and monitoring for real-world deployments.
I work closely with product, data, and engineering teams to translate technical requirements into impactful AI-driven features. My production experience includes AWS-based solutions (EC2, RDS, S3, API Gateway, IAM) and reliability practices aligned with CI/CD workflows, along with regulated-environment delivery where accuracy, security, and stability are critical.
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