I’m Jeethesh Verma, a Senior AI/ML Engineer with around 9 years of experience building production-grade machine learning systems across insurance, banking, healthcare, and enterprise SaaS. I specialize in Python, SQL, and distributed data processing, and I design scalable AI solutions that fit directly into business and product workflows.
I’ve implemented models using Scikit-learn, XGBoost, and LightGBM with a strong emphasis on feature engineering, model validation, and production-ready infrastructure. I’ve built AI-driven systems including recommendation engines, ranking models, and behavioral pipelines from large-scale event data, and I work with PyTorch for representation learning and user embeddings. I also design and operate data pipelines with PySpark and Databricks, deploy on Azure and AWS, and apply MLOps practices with MLflow to ensure reproducibility and reliability in production.
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