AI/ML Engineer with 3+ years of experience designing, developing, and deploying scalable machine learning and Generative AI solutions across enterprise
environments. Experienced in building production-ready AI applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI
agents, NLP, deep learning, and cloud-native MLOps pipelines. Skilled in developing end-to-end ML workflows from data engineering and feature engineering
to model training, deployment, monitoring, and continuous optimization using Python, PyTorch, TensorFlow, LangChain, Hugging Face, AWS, Docker, and
Kubernetes. Strong background in developing intelligent automation solutions, integrating foundation models through APIs, optimizing inference performance,
and delivering AI-driven business solutions that improve operational efficiency, prediction accuracy, and user experience. Adept at collaborating with crossfunctional engineering, product, and data science teams to deliver secure, scalable, and production-grade AI systems following modern software engineering
and MLOps best practices.
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