Nehith Komaravolu
Ai Ml Engineer @State Street
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WORK HISTORY
Ai Ml Engineer @State Street
US
Engineered data pipelines using SQL and Python to aggregate customer credit history, income flow, and economic indicators from internal banking systems and third-party sources.• Designed and fine-tuned predictive models using Random Forest and XGBoost in AWS SageMaker to assess loan default probability for personal and small business applicants.• Automated end-to-end model workflows using Apache Airflow, enabling regular retraining with fresh applicant data and maintaining optimal model performance.• Developed rule-based preprocessing logic for unstructured employment details, improving data reliability for gig workers and self-employed applicants during income analysis.• Integrated AI-driven risk scoring APIs into the loan approval system, allowing real-time insights for underwriters and reducing manual review workloads.• Visualized model output and performance metrics using Tableau and Power BI dashboards, enabling business teams to track risk trends and understand key predictive features.• Maintained codebase and model versioning through Git and GitHub, collaborating with cross-functional teams to enhance fairness, accuracy, and compliance in loan decisioning.
EDUCATION
Gitam University, Hyderabad
Bachelor of Technology - BTech
University of North Texas
Master's degree
ABOUT NEHITH KOMARAVOLU
AI/ML Engineer with 3+ years of experience designing and deploying machine learning solutions for risk analytics, credit scoring, and fraud detection across large-scale financial systems. Skilled in building end-to-end ML pipelines — from data engineering and feature creation to real-time model deployment, monitoring, and retraining in production.Proficient in Python, SQL, XGBoost, LightGBM, CatBoost, Flask, FastAPI, Docker, Kubernetes, Apache Airflow, AWS SageMaker, and Azure Functions, with strong hands-on experience in MLOps, automation, and scalable API development. Adept at transforming raw data into actionable insights using Tableau, Power BI, and Grafana for business decision-making.Passionate about leveraging AI to solve complex problems, optimize decision workflows, and improve operational efficiency. Always eager to collaborate, innovate, and drive measurable impact. Open to new opportunities in AI/ML Engineering, MLOps, and Data Science, where I can apply my skills in cloud platforms (AWS, Azure), large-scale model deployment, and real-time analytics to deliver high-impact business solutions.
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