Praneeth Teja Rayala

About Praneeth Teja Rayala

Network Engineer with 5+ years of experience designing, implementing, and supporting…

Experience

1. Ai Ml Engineer

   Truist

   Jan 2025 — Present · Charlotte, NC, US

   Built and deployed machine learning models for fraud detection and credit risk assessment using TensorFlow, Scikit-learn, and XGBoost, achieving a 93% recall rate.• Designed data pipelines using PySpark and Airflow to process high-volume financial data streams in real time.• Implemented NLP techniques to analyze transaction notes and customer communications using Hugging Face Transformers.• Developed end-to-end MLOps pipelines with Docker, MLflow, and Jenkins, automating training and deployment cycles.• Leveraged AWS S3 and SageMaker for large-scale training and model serving across multi-tenant banking environments.• Applied Explainable AI (XAI) with SHAP and LIME for transparent risk score explanations to meet regulatory compliance.• Integrated models into banking microservices using Flask and FastAPI, enabling real-time fraud alerts.• Utilized Grafana and Prometheus for monitoring model latency and service uptime.• Collaborated with data security teams to align with Basel and GDPR data policies.• Conducted periodic A/B testing to validate model performance on live data.• Documented workflows, model artifacts, and audit reports for risk management reviews.

Education

• University of Central Missouri

  Master's degree, Cybersecurity