Vinay Waingankar

About Vinay Waingankar

Highly analytical and results-driven AI/ML Engineer with 5+ years of experience in data…

Experience

1. Ai Ml Engineer

   Propio Language Services

   Jul 2024 — Present · Mumbai, IN

   Propio Language Services acquired United Language Group, where I continued my role as an AI/ML Engineer. Below are my key roles and responsibilities, encompassing Data Engineering, AI & ML Initiatives.1. Designed, implemented, and managed SQL & NoSQL databases by developing optimized data models, schemas, and retrieval methods to ensure high performance, availability, and security, while enabling seamless integration of streaming data with batch processing pipelines.2. Built and managed data ingestion pipelines to store structured, semi-structured, and unstructured data from diverse sources into Azure Blob Storage.3. Integrated Azure Blob Storage with Azure Data Factory and Azure Databricks to enable seamless data ingestion, transformation, and multilingual content processing workflows across the data pipeline.4. Assist in the design, implementation and maintenance of scalable data pipelines and ETL processes, help manage databases and data warehouses and support the integration and consistency of data from various sources to enable Machine Learning, AI Initiatives.5. Manage and pre process Large linguistic datasets for model training and evaluation.6. Design, develop and implement machine learning models for natural language processing tasks, ensuring high accuracy and efficiency.7. Model Testing and Evaluation: Conduct rigorous testing of models, analyze performance and refine models based on feedback and results.8. Containerize and package ML services using Docker for deployment flexibility across environments. Deploy ML workloads on Kubernetes clusters, ensuring horizontal scalability and resilience.9. Maintain comprehensive experiment logs and metrics in MLflow, enabling transparent comparison of model iterations. Serve models via BentoML, supporting rapid iteration and seamless version upgrades in production.10. Implement proactive monitoring solutions with Prometheus and Grafana for operational reliability and model performance oversight.