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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in predictive modeling and NLP for healthcare and FinTech
Mid-level AI/ML Engineer specializing in healthcare analytics and generative AI
Mid-level Data Analyst/Data Scientist specializing in ML, dashboards, and predictive analytics
Mid-level Machine Learning Engineer specializing in production MLOps and healthcare analytics
Mid-level Machine Learning Engineer specializing in MLOps, GenAI RAG, and computer vision
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Mid-Level Full-Stack Software Developer specializing in Financial Services
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Mid-level Software Development Engineer specializing in Java microservices and FinTech
Mid-level Data Scientist specializing in ML, NLP, and analytics for FinTech
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Executive IT Leader (CIO/CTO) specializing in turnaround, security, and global infrastructure
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”