someawesome

ML Engineer & Anti-Fraud Specialist | FinTech & BlockchainI am a Machine Learning Engineer with a strong foundation in data science and backend development, specializing in the FinTech and Cryptocurrency sectors. Currently delivering predictive modeling and anomaly detection solutions at xStack, I bridge the gap between complex fraud analytics and production-grade engineering.My core expertise lies in building end-to-end ML pipelines and high-load systems using Python and Golang. I have successfully designed and deployed AML (Anti-Money Laundering) compliance services and fraud detection tools that significantly reduce business risks. My technical toolkit includes PyTorch, CatBoost, and Apache Kafka, alongside robust DevOps practices with Docker and Kubernetes.I am passionate about applying deep learning and graph-based architectures to solve real-world security challenges. I am looking for opportunities to leverage my engineering skills in challenging ML projects where data integrity and system scalability are paramount.