Kousalya Subramani

About Kousalya Subramani

I am an AI-driven Python Developer with 5+ years of experience building scalable backend systems, data pipelines, and machine learning solutions that solve real-world business problems. My work sits at the intersection of software engineering, data engineering, and applied AI — where performance, scalability, and intelligence matter.I specialize in developing high-performance APIs, designing automated ETL workflows, and building data-driven systems using tools like FastAPI, PySpark, and Apache Airflow. I have hands-on experience applying machine learning techniques for anomaly detection, predictive analytics, and decision-making systems in enterprise environments.Currently, I work on fraud analytics systems where I build real-time data pipelines and AI-powered solutions to detect suspicious patterns and improve risk monitoring. I enjoy working with large-scale distributed systems, optimizing performance, and turning complex data into meaningful insights.

Experience

1. Python Developer

   Citibank

   Feb 2025 — Present · CA, US

   Designed and developed secure, high-performance REST APIs using Python, FastAPI, to enable real-time transaction validation and fraud-alert processing.• Applied AI-driven anomaly detection techniques using Scikit-learn and statistical modeling to identify suspicious financial transaction patterns.• Built real-time event streaming pipelines using Apache Kafka, AWS Lambda, and Python to detect anomalous transaction patterns and trigger automated risk notifications.• Performed data preprocessing, feature engineering, and anomaly detection using Pandas, NumPy, and Scikit-learn to support fraud-risk analytics.• Optimized SQL queries and backend data pipelines across PostgreSQL, and AWS RDS, improving fraud investigation turnaround time.• Automated compliance validation and monitoring workflows using Python, Apache Airflow, and AWS CloudWatch, reducing manual operational effort by 40%.• Deployed and maintained scalable cloud services using AWS EC2, S3, Docker, and CI/CD practices, ensuring secure, reliable, and production-ready systems.