About Me
I’m a Machine Learning Engineer with strong DevOps expertise, focused on building production ready, scalable ML systems rather than just experiments. I work across the full ML lifecycle from data preprocessing and model development NLP, text classification, BERT, transfer learning to deployment and monitoring using tools like FastAPI, async Python, Docker, Kubernetes k3s, CI/CD, NATS, and Apache NiFi. I specialize in turning ML models into reliable APIs and message driven services that perform well under real world load, with hands on experience in low resource language modeling and cloud native MLOps. If you need someone who can design, build, deploy, and maintain end to end ML solutions, I can help deliver systems that are fast, scalable, and ready for production.
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$30/hr
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