Apr 2024 – Present · 2 yrs 2 mos · California, United States · Remote

• Developed a comprehensive fraud mitigation system using AI and ML, significantly reducing fraudulent activities and enhancing system security at an undisclosed card company. Worked with the most recent tools like FLINK, KUBEFLOW, MLFLOW and FASTAPI.
• Systematically stored logs related to transactions and visualized them using Apache Superset, providing clear insights into fraud patterns and trends that are essential for maintaining the integrity of the payment system.
• Orchestrated data workflows in Dagster, ensuring seamless integration and execution of data processing tasks, critical fraud detection efforts. Implemented CI/CD practices using Jenkins and ArgoCD to automate deployment and enhance the reliability of these data pipelines.
• Utilized Kubeflow Pipelines to push data to Redis, enabling real-time access for model reference on customer behavior. This integration facilitated the dynamic analysis of customer interactions, enhancing the ability to detect and respond to fraudulent activities promptly.
• Actively participated in the PCI DSS 4.0 audit for the FML department of an undisclosed card company, ensuring compliance with updated security standards. Additionally, I was involved in audits conducted by the Reserve Bank of India (RBI), sharing comprehensive reports with RBI to demonstrate adherence to regulatory requirements.
• Developed service code, creating a static code and data validator for transactions to ensure data integrity. Managed all development (DEV), user acceptance testing (UAT), and production (PROD) environments for deploying predictive models using FastAPI, handling over 3 million transactions per day without data loss.

Dec 2023 – Apr 2024 · 4 mos · California, United States · Remote

• Managed the operations for data within the ConcertoCard product, overseeing teams responsible for data management and analytics. This included building service code from scratch, specifically a static code and data validator for transactions, which not only ensured data integrity but also provided the necessary inputs for the predictive model used to analyze transactions. Additionally, I played a vital role in compliance efforts related to PCI DSS 3.2.1 and 4.0, serving as an internal auditor to ensure security standards were met effectively. This comprehensive approach not only enhanced operational efficiency but also contributed to maintaining the integrity and security of the ConcertoCard platform, supporting its growth in the competitive credit card partnership landscape.
• Worked extensively with Apache Airflow and DBT to store data efficiently and create visualizations for stakeholders, detailing metrics such as the number of cards added, inception details, transaction volumes, and other key performance indicators. Data Visualization Management: Managed Apache Airflow and DBT platforms to visualize critical data metrics such as card additions, inception details, transaction volumes, and other key performance indicators.
• Managed the storage of data in Amazon RDS (Relational Database Service) in the cloud, ensuring reliable access and management of transactional data, Setup scripts and automate the procedure of archiving storage to S3.
• Utilized Fluentd to store security and SIEM logs into Amazon S3 buckets for auditing purposes, ensuring a robust logging mechanism for compliance and analysis
• Actively participated in PCI DSS 3.2.1 and 4.0 audits, ensuring compliance with security standards while also serving as an internal auditor to uphold stringent security protocols within the organization.