Fall 2022

Course Grader - CS 760 (Machine Learning)

Course Grader - CS 642 (Intro to Information Security)

Peer Mentor - CS 540 (Intro to AI)

• Built a data transformation and processing pipeline in Java (Spring) to handle over 1B+ daily events as part of Monitoring revamp for the PayPal Compliance Org

• Composed data normalization queries in SQL to process raw application logs and integrated with the Google BigQuery API to store the normalized data

• Designed and developed a job scheduling framework to periodically perform the normalization activity and write the data to BigQuery

• Added provision to easily onboard and plug-in new components with a config based extensible design

Spring 2022

Peer Mentor - CS 540 (Intro to AI)

Fall 2021

Course Grader - CS 571 (Building User Interfaces)

• Affiliate Attribution - Implemented local response caching and exponential back-off on DynamoDB. Improved p99.9 reliability by 10% and reduced client-side errors by 15%.

• Customer Timeline - Implemented a sessionId based customer journey timeline as a directed acyclic graph (DAG) with nodes as click/add-to-cart/order events arranged by timestamp using AWS Neptune GraphDB.

• Analytics - Implemented a reconciliation module for reconciling associates data between DynamoDB and Data Warehouse (AWS Redshift) to report discrepancies in data. Developed ETL jobs to dump the data to S3 on a daily cadence and scheduled the workflow using Apache Airflow to run the reconciliation job on AWS EMR