Dallas, TX
... Integrated Kafka and RabbitMQ to enable event-driven processing for payments, transaction notifications, fraud alerts, and account updates, improving throughput and system resilience. Developed and optimized complex PL/SQL queries, stored procedures ...
- Feb 12
St. Louis, MO, 63108
... automation PayPal - Hyderabad, India Data Scientist - Jun 2020 to Dec 2021 Designed and developed machine learning algorithms to detect fraudulent transactions, utilizing Python and advanced statistical techniques, which reduced fraud rates by 20%. ...
- Feb 12
Worcester, MA
... • Implemented asynchronous messaging with RabbitMQ to enable fault-tolerant microservice communication, processing over 1.2M daily workflow events including payment notifications and fraud alerts. • Secured API routing and microservice communication ...
- Feb 12
Philadelphia, PA
... • Supported deployment of AI/ML inference services on AKS by enabling GPU-enabled node pools and optimizing container resource allocation, ensuring reliable and scalable model inference for fraud detection and risk scoring use cases. • Integrated ...
- Feb 12
Pasadena, MD
... March 2023 – Present Client Summary: Stripe is a leading global payments infrastructure provider powering real-time online transactions, fraud detection, financial automation, and developer-centric payment solutions for enterprises and startups. ...
- Feb 12
Chicago, IL
... • Engineered 150+ ML features on Databricks using Spark, Delta Lake, and MLflow, supporting 5 enterprise credit-risk and fraud-detection models with full lineage and experiment tracking. • Delivered 3 production RAG platforms using Vertex AI, ...
- Feb 12
Fort Worth, TX
... Integrated AI/ML workflows with real-time streaming systems via Apache Kafka, Airflow, Spark Streaming for fraud detection and operational alerts. Fine-tuned LLMs such as LLaMA, Mistral, Falcon on domain-specific data to improve summarization, ...
- Feb 12
Hyderabad, Telangana, India
... • Architected event-driven microservices leveraging Apache Kafka, enabling real-time data streaming, event sourcing, and asynchronous communication between core banking, fraud detection, and analytics subsystems. • Deployed and managed containerized ...
- Feb 12
United States
... •Designed, trained, and deployed production regression, ensemble, and time-series forecasting models (linear models, tree-based ensembles, gradient boosting, ARIMA/ARIMAX) supporting pricing, forecasting, fraud, and risk analytics use cases. •Built ...
- Feb 12
United States
... a scalable AI-driven healthcare analytics platform processing 20M+ Medicare cost reports, leveraging Python, Azure Databricks, and low-latency data pipelines for real-time fraud detection, reducing false positives by 30% and accelerating processing. ...
- Feb 12