Hi, I’m Mani Advinibolla, a results-driven AI/ML engineer with 4+ years of experience building end-to-end machine learning solutions across healthcare, finance, and IT domains. I enjoy turning messy data into reliable, scalable models and ML services using Python, TensorFlow, PyTorch, and tools like LangChain, Flask, and FastAPI.
I collaborate with clinicians, data scientists, and engineers to design robust data pipelines, containerized deployments on AWS with Docker and Kubernetes, and real-time dashboards with Grafana. I’m passionate about production-grade ML—ensuring HIPAA-compliant data handling, reproducible workflows, and measurable impact in production systems.
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