I’m a software engineer specializing in enterprise AI/ML with 3 years of progressive experience across the full ML lifecycle—from data exploration and feature engineering to model training, MLOps, and scalable cloud deployment. I combine strong technical skills in Python, distributed computing, and deep learning with a product mindset to deliver intelligent solutions that drive revenue growth, optimize costs, and mitigate risk. I thrive in cross-functional teams and work to align technical execution with strategic business goals.
In my current role at Capital One, I build real-time risk and fraud detection systems, deploy ML models as scalable services, and continuously monitor performance and drift in production. I enjoy optimizing infrastructure, mentoring teammates, and delivering practical, data-driven results that users and stakeholders can trust.
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