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Currently learning
Deep-diving into MLOps principles. Mastering Kubeflow for scalable deployment & pipeline orchestration, and picking up Go for writing fast, concurrent microservices to serve models with low latency.
Currently hacking on
I specialize in Python (TensorFlow, PyTorch, Hugging Face) and MLOps tools like Kubeflow & Docker.
Available for
Available for MLOps (notebooks to production) and ethical AI. Let's discuss bias mitigation and building reliable systems that model nuanced, human-like, and sometimes imperfect decisions.
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