I’m a biomedical engineering professional with a strong focus on self-taught deep learning and multi-agent AI systems, with hands-on experience supporting clinical equipment and real-world engineering workflows. I’ve built and fine-tuned medical imaging and dose-planning style models, including segmentation and image generation approaches, while keeping an emphasis on clear, reproducible proof-of-concept results.
I also work at the intersection of ML engineering and infrastructure: orchestrating containerized pipelines with Docker and Kubernetes (manifest-style design), using SQL and Streamlit for practical tooling, and deploying models in Linux environments. Alongside my engineering background, I have hands-on clinical and technical supervision experience in medical equipment support and fetal monitoring domains, and I enjoy turning complex requirements into transparent, dependable AI systems.
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