Technical lead with hands-on development, support, deployment and process improvement responsibilities for a micro-service that stores more than 40 billion data points every day and improves API response times by 3X – 200X. Single handedly responsible for maintaining and improving an AWS-based production system that monitors 4 million IIoT sensors at any time of the day, serves more than 20 million API requests every day, makes use of 176 cores of CPU & 682 GB of RAM on EC2, utilizes 8 TB of EBS volume and stores more than 590 TB of data on S3. Created new REST API end-points on ASP.NET Core 2.1 to reject large requests, and designed custom EBS-based cache management process for Linux and Windows deployments to increase stability and improve response time.

For Schmidt foundation, analyzed 2 months’ worth of aggregated internet connection endpoint data of Indonesia to understand the population displacement before, during and after the New Year’s Eve flood of 2020. Conducted exploratory analysis and silhouette analysis for K Means clustering to find temporal patterns.