I am an AI engineer with 6+ years delivering end-to-end ML solutions across data ingestion, feature engineering, model training, evaluation, and deployment. I craft scalable Python pipelines (pandas, NumPy, scikit-learn) and build forecasting models with PyTorch, while collaborating with economists and policy teams to translate complex datasets into actionable insights.
I am hands-on with MLOps (Docker, Kubernetes, CI/CD, DVC), have experience with time-series forecasting and large-scale datasets, and I explore GenAI tooling (Hugging Face, OpenAI, Llama) to develop secure APIs using Django and Node.js. I value reproducibility, clear documentation, and stakeholder-friendly visuals.
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