ML Engineer
I'm a Data Scientist and Machine Learning Engineer with over 5 years of experience transforming raw data into intelligent systems that solve real-world problems. From building fraud detection algorithms, working with data at scale, to deploying scalable ML solutions in production, I bring both analytical depth and engineering rigor to every project.
My skill set bridges the gap between data science and ML engineering. I’m experienced in designing models with Python and NLP, building and orchestrating large-scale LLM/GenAI pipelines on Azure Databricks and Azure Data Factory, and deploying solutions across cloud environments including Azure, AWS, and GCP. From schedule- and event-triggered Data Factory pipelines that orchestrate Databricks notebooks, to multi-model workflows that route each stage to the best-fit LLM, I enjoy not only developing robust models but also ensuring they’re optimized, reliable, and integrated seamlessly into products that users rely on.
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