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I'm Nageswar Rao, an AI/ML engineer with 4+ years of experience designing, training, and deploying machine-learning and generative-AI solutions in banking and financial-services environments. I'm specialized in fraud detection, credit-risk modeling, and investment-analytics automation using Python, PyTorch, Scikit-learn, and AWS SageMaker. I'm experienced in implementing RAG pipelines, LLM fine-tuning (PEFT, QLoRA), and MLOps automation with MLflow and Airflow to ensure regulatory compliance, traceability, and low-latency production inference. I have a proven record of improving model performance, operational efficiency, and risk-management outcomes across enterprise AI ecosystems.…I'm Nageswar Rao, an AI/ML engineer with 4+ years of experience designing, training, and deploying machine-learning and generative-AI solutions in banking and financial-services environments. I'm specialized in fraud detection, credit-risk modeling, and investment-analytics automation using Python, PyTorch, Scikit-learn, and AWS SageMaker. I'm experienced in implementing RAG pipelines, LLM fine-tuning (PEFT, QLoRA), and MLOps automation with MLflow and Airflow to ensure regulatory compliance, traceability, and low-latency production inference. I have a proven record of improving model performance, operational efficiency, and risk-management outcomes across enterprise AI ecosystems.

Nageswar Rao

AI Engineer, AI Developer, Data Scientist, +2

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I'm Nageswar Rao, an AI/ML engineer with 4+ years of experience designing, training, and deploying machine-learning and generative-AI solutions in banking and financial-services environments. I'm specialized in fraud detection, credit-risk modeling, and investment-analytics automation using Python, PyTorch, Scikit-learn, and AWS SageMaker. I'm experienced in implementing RAG pipelines, LLM fine-tuning (PEFT, QLoRA), and MLOps automation with MLflow and Airflow to ensure regulatory compliance, traceability, and low-latency production inference. I have a proven record of improving model performance, operational efficiency, and risk-management outcomes across enterprise AI ecosystems.…I'm Nageswar Rao, an AI/ML engineer with 4+ years of experience designing, training, and deploying machine-learning and generative-AI solutions in banking and financial-services environments. I'm specialized in fraud detection, credit-risk modeling, and investment-analytics automation using Python, PyTorch, Scikit-learn, and AWS SageMaker. I'm experienced in implementing RAG pipelines, LLM fine-tuning (PEFT, QLoRA), and MLOps automation with MLflow and Airflow to ensure regulatory compliance, traceability, and low-latency production inference. I have a proven record of improving model performance, operational efficiency, and risk-management outcomes across enterprise AI ecosystems.

Available to hire

I’m Nageswar Rao, an AI/ML engineer with 4+ years of experience designing, training, and deploying machine-learning and generative-AI solutions in banking and financial-services environments.

I’m specialized in fraud detection, credit-risk modeling, and investment-analytics automation using Python, PyTorch, Scikit-learn, and AWS SageMaker. I’m experienced in implementing RAG pipelines, LLM fine-tuning (PEFT, QLoRA), and MLOps automation with MLflow and Airflow to ensure regulatory compliance, traceability, and low-latency production inference. I have a proven record of improving model performance, operational efficiency, and risk-management outcomes across enterprise AI ecosystems.

Skills

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Expert

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Intermediate

Work Experience

AI Engineer at Citibank

September 1, 2024 - November 19, 2025

Designed and deployed a Generative AI-based intelligence system for the Chief Investment Office, leveraging LangGraph multi-agent coordination and RAG pipelines (FAISS + Redis) to automate regulatory reporting and financial research generation. Implemented predictive asset optimization models in Scikit-learn and XGBoost, analyzing macroeconomic indicators and volatility trends to enhance risk-adjusted portfolio performance by 12%. Developed real-time financial data ingestion pipelines using Apache Kafka with AWS Glue and Athena, processing over 80 million daily transactions to support KYC, AML, and compliance intelligence workflows. Orchestrated multi-agent LLM architecture via Model Context Protocol for research, compliance, and risk intelligence. Fine-tuned domain LLMs (FinGPT, Palmyra) using PEFT and QLoRA to optimize financial text summarization. Automated model retraining and drift monitoring with MLflow and GitHub Actions, shortening deployment cycles by 30%. Implemented LLM eval

Machine Learning Engineer at LTI Mindtree

July 1, 2023 - July 1, 2023

Delivered a fraud-detection system for a global fintech client using PyTorch and XGBoost, cutting false-positive alerts by 31% and improving fraud capture recall across millions of transactions. Built ETL and feature engineering pipelines with Spark and Airflow to process 50M+ records daily from core-banking systems for model retraining and drift correction. Developed NLP pipelines with BERT and Hugging Face to extract intent and risk entities from KYC and loan applications, reducing manual review time by 30%. Containerized and deployed ML inference services on AWS SageMaker, supporting multi-tenant fraud models with 99.5% uptime and seamless versioning. Created real-time fraud and behavioral-scoring APIs with FastAPI + Kafka + Lambda, enabling sub-200 ms response for credit and payments transactions. Applied Optuna-based Bayesian tuning to optimize hyperparameters and boost AUC and F1 scores by 10%. Built Explainable AI dashboards (SHAP, Plotly) for risk analysts to interpret feature