database

At Socure, I developed device and behavioral biometrics products to detect fraud. I created gRPC services in Java and TypeScript for behavioral biometrics, stored in DynamoDB. Additionally, I built RESTful services in Scala to identify risky devices using DynamoDB, Elastic Search Cluster, and Redshift data warehousing.

Moreover, I prototyped a pipeline using AWS Kinesis Data Stream, Firehose, Glue Jobs, and Elastic Search Cluster for generating device risk scores. Finally, I managed an ETL pipeline in Scala, integrating SQS queues and Redshift data warehousing, providing our data science team with extensive device data for analysis.

Tech Stack: Scala, Java, TypeScript, RESTful, gRPC, SQS queue, DynamoDB, Elastic Search Cluster, Redshift data warehouse, AWS kinesis data stream, firehose, glue job, Spring boot, Scalatra, Akka, Google Guice.

Conducted recitations for Data Structures & Algorithms, Numerical Analysis, and Discrete Math courses.

Funded by the National Science Foundation (NSF), the goal of the research was to replace super-conducting magnets with powered magnets in Magnetic Resonance (MR) imaging machines to make them smaller, affordable, and cryogen-free. I designed computer simulations to filter MR images from field fluctuations found in powered magnets. Furthermore, I collaborated with researchers from Penn State University, Florida State University, and National High Magnetic Field Lab, Florida to share findings.