I’m an AI Engineer who turns complex machine learning concepts into reliable, production systems. My background spans Python, PyTorch, and architecting RAG.
designing, deploying, and scaling production-grade machine learning, deep learning, and generative AI systems. Proven expertise in architecting retrieval-augmented generation (RAG) pipelines, fine-tuning large language models, and optimizing real-time inference workflows. Adept at bridging complex algorithmic research with scalable business impact, having previously improved model accuracy by 32% and cut inference costs by 35%. Passionate about clean Python engineering, MLOps best practices, and mentoring cross-functional teams.
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