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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Senior Machine Learning Engineer specializing in conversational AI and InsurTech
Mid-level AI/LLM Engineer specializing in generative AI and ML systems
Senior Full-Stack Engineer specializing in cloud-native enterprise and AI platforms
Senior Software Engineer specializing in cloud-native platforms, LLMs, and FinTech
Mid-level Software Engineer specializing in distributed systems and FinTech platforms
Senior Software Engineer specializing in backend systems and FinTech/e-commerce platforms
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Senior Data Scientist specializing in predictive modeling and recommendation systems
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Mid-level Data Scientist specializing in FinTech and product analytics
Mid AI/ML Engineer specializing in LLM alignment and scalable AI systems
Executive product leader specializing in education, edtech, and global consumer innovation
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”