Dec 2021 – Aug 2023 · 1 yr 8 mos · Chennai, Tamil Nadu, India

• Designed and implemented the MLOps platform with monitoring solutions using PySpark and adhered to high-quality development standards while delivering the solutions with 98% on-time.
• Built a Data Centric AI on Databricks platform handling the end user Claims with MLOps & CI/CD capabilities for a Healthtech Giant.
• Set up a MLOps Frameworks along with Continuous Training & Deployment CI/CD pipeline of model using MLflow & Azure DevOps.
• Implemented end-to-end ML pipelines on AWS SageMaker, integrating data preprocessing, model training, and deployment.
• Developed RESTful APIs to expose machine learning models for external consumption.
• Reverse Engineered the Statistics SQL model into a complete Machine Learning Model
• in Databricks, which helped the business to mitigate the losses through claims.
• Built a Monitoring Solution for managing the Machine Learning Lifecycle using the MLflow and Azure ML.
• Developed AzureML SDK for Python for complete Machine Learning Lifecycle to deploy Machine Learning web-services in the simplest manner.
• Integrated Azure Databricks with Machine Learning services, spin up Databricks clusters to Build Machine Learning models within minutes.

Jun 2018 – Dec 2021 · 3 yrs 6 mos · chennai

• Started my Machine Learning Career by completing the Online Degree from Stanford School lectured by Andrew NG.
• Being a Certified Azure Data Scientist, I've Experience on Microsoft Azure and Deep Knowledge on Azure Machine Learning Studio & Services.
• Developed an end-to-end Self-Heal Automation API that reduced the Human Efforts by 40% using Python, A Random Forest ML Algorithm that reckons the parameters on the tickets from the ticketing tool which in turn shoots the Flask API, where the ansible playbooks are hosted.