Nishanth Reddy

Ai Engineer @AGCO Corporation

US

Engineered and refined advanced machine learning models to automate loan risk assessment and property valuation, leveraging Python, XGBoost, and TensorFlow to enhance predictive accuracy and decision-making efficiency- Designed dynamic feature engineering pipelines that captured borrower stability, economic indicators, and housing market trends, utilizing data manipulation and feature extraction techniques for improved model performance- Developed hybrid AI models integrating tabular data with satellite imagery through convolutional neural networks, reducing human bias in property appraisal and supporting equitable mortgage lending decisions- Implemented explainability frameworks for machine learning models, applying SHAP and LIME methods to deliver transparent insights to compliance and underwriting teams, strengthening trust in AI-driven outcomes- Orchestrated deployment of scalable AI solutions on cloud platforms with containerized workflows, ensuring seamless integration into Freddie Mac’s existing underwriting systems and real-time batch processing capabilities- Collaborated cross-functionally with data engineers and business stakeholders to align AI models with regulatory standards and market conditions, continuously adapting algorithms to evolving economic data- Innovated automated data collection and preprocessing routines to harmonize diverse datasets from public real estate sources, credit reports, and economic indicators, maintaining high data quality for robust machine learning pipelines.

Central Michigan University

Master of Science - MS