Lead Software Engineer for Keap pay

Developed a microservice using python to provide metrics to customer dashboard. Deployment was done to cloud-run and was maintained by me using monitoring tools from google cloud console. Used the snowflake connector api to connect with the snowflake database.Migrated the service over to Kubernetes (Micronaut) in java. The migration and optimizations resulted in latency reduction of 90% and, New Relic implementation for the project helped achieve an 80% decrease in customer-impacted bugs and errors.Transformed the architecture of the user metrics service from MDD (Model Driven Development) Architecture to the Onion Architecture (Domain Driven Development).Designed and developed a microservice used for reporting. Designed the service in Onion Architecture and built it on micronaut framework. Solved pagination and other issues that come with fetching large data.

Performing statistical analysis and data visualizations in an Agile Software Development Team to understand the learning process of students on MOOC (Massive Open Online Course) of EdX, to help improve the quality of education in online courses.Building an aggregated feature-rich database from a cluster of databases in amazon S3 sandbox and amazon redshift, to use in building machine learning applications for students.Implement different models on amazon Sagemaker using the data from s3 to predict the performance and progress of each student in each of the courses in the platform.

Performed Natural Language Processing - Sentiment and Semantic Analysis of Social Media Data for Disaster managementPerformed Social Media Analytics - Built a relationship graph of hidden friends for a Facebook user.Performed Deep learning - Logistic regression using Neural Networks for a classification problem.