Forward-thinking Software Engineer with background working effectively in dynamic environments. Fluent in AWS SageMaker and other AWS AI/ML Services. Skilled in Python, Data Science, Machine Learning and AWS Cloud.
Demand Forecasting
• Build the model for Vehicle Demand Forecasting using fbprophet and for multiple time-series using DeepAR.
• Hosted multiple Models on Multi-Model Endpoint on AWS SageMaker through Flask API, Docker and API Gateway in scalable manner.
• Created an automated pipeline for model training and Deployment using AWS Step Functions.
Intelligent Invoice Processing System
• Designed serverless application for the digitization of Invoices using Amazon Textract, AWS Lambda, Amazon DynamoDB, Amazon API Gateway, and A2I.
Billing Automation System
• Build the Billing automation using AWS Lambda, Athena, S3 and CloudWatch Event for sending AWS billing Report to individual account from consolidated Billing Report.
• Saved 30hrs of manual work per month.
Image Classification
• Created model for classification of animals using AWS Sagemaker built-in Image Classification Algorithm.
Data Lake
• Create AWS Data Pipeline for incremental transfer of Terabytes of Data from Cassandra to Data Lake in AWS S3 using AWS EMR and Spark.
Team.
Programming /Framework: Python, C, C, pandas, NumPy, PyTorch , statsmodels, scikit-learn, Scrapy, Flask
undefinedAWS Certified Machine Learning – Specialty
AWS Certified Machine Learning – Specialty
AWS Certified Solutions Architect – Associate