I’m a passionate data and software engineer who loves to learn and solve real-world problems at the intersection of data, code, and machine learning. I enjoy exploring how modern DL models, RAG systems, and transformer architectures can unlock value across industries, with a current focus on deep learning, medical image computing, and practical ML deployments. I thrive in building end-to-end systems that scale, from data pipelines to AI-powered applications.
In my work, I design robust data platforms and ML-enabled services, combining cloud and on‑prem environments to deliver seamless, scalable solutions. I’m motivated by hands-on experimentation and real-world impact, always looking to level up with new tools and approaches while keeping the focus on maintainable, production-ready architectures.
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