Geoffrey Rathinapandi is an ML Architect with nine years of experience designing and operationalizing production-grade ML platforms and MLOps pipelines, currently building Gen-AI and NLP-driven solutions at IBM from Austin. He has led end-to-end ML product development—from feature stores and automated training/deployment to RAG-based Q/A bots and domain-specific NLP query engines—across SaaS startups and large enterprises. Geoffrey combines deep engineering skills (Python, TensorFlow/PyTorch, Docker/Kubernetes) with cloud architecture expertise (GCP, AWS, Azure) and holds multiple cloud ML/architect certifications. He has driven patentable innovations in NER-based sentiment labeling and customer analytics, and has led teams to SOC2 compliance and multi-tenant SaaS delivery. Hands-on in both research and delivery, he’s known for turning complex data ecosystems into scalable, business-focused AI services.
9 years of coding experience
6 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Texas Tech University
This is a Repository which Contains the implementation of Machine learning model for email/sms spam detection Technologies used: Jupyter notebook | angularJs | Python | Scikit
Contributions:49 PRs, 97 pushes, 50 branches in 6 years 9 months
pythontechnologiesspamjupyter-notebooknotebook
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