Anil Kalshetty Email & Phone Number

With over 4.5 years of experience as a Machine Learning Engineer, I specialize in MLOps, focusing on transforming machine learning models into scalable, reliable, and efficient production solutions. My expertise includes:Productionization of ML Models: Designing and implementing robust solutions to deploy models into production environments, ensuring scalability and maintainability.Code Optimization, Standardization, and Modularization: Improving code efficiency and readability through best practices, ensuring consistency across projects.End-to-End Pipeline Development: Building and maintaining automated pipelines that handle the full lifecycle of machine learning models, from data ingestion to model deployment and monitoring.Data Quality Checks & Drift Detection: Implementing robust data quality checks and drift detection mechanisms to maintain model accuracy and reliability over time.Model Observability & Monitoring: Enhancing model observability and monitoring to ensure ongoing performance, including setting up alerts for anomalies or performance degradation.Testing and Validation: Implementing rigorous testing frameworks to ensure models meet performance and reliability standards before production. Tools & Technologies: Proficient in Azure Cloud, Databricks, DevOps, Airflow, Docker, and programming languages like Python, PySpark, and SQL.Collaboration: Working closely with data science teams and clients to align technical solutions with business goals and ensure successful project delivery.My passion lies in bridging the gap between data science and engineering, enabling seamless deployment of AI solutions that drive real business value.

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  Savitribai Phule Pune University

  Mechanical Engineering