I am an AI/ML Data Engineer with over 5 years of experience building scalable machine learning pipelines and developing proprietary models for finance and risk assessment. I have a strong background in deep learning frameworks, natural language processing, and training large language models using advanced techniques. I take pride in optimizing data workflows on cloud platforms and turning cutting-edge research into production-ready solutions. I specialize in designing robust ML/AI data pipelines and ensuring reproducibility of experiments and models while collaborating with cross-functional teams. My experience spans credit risk modeling, fraud detection, KYC automation, and multi-agent system orchestration. I am passionate about leveraging AI technologies to drive efficiency and accuracy in complex business workflows.

Durga Katreddi

I am an AI/ML Data Engineer with over 5 years of experience building scalable machine learning pipelines and developing proprietary models for finance and risk assessment. I have a strong background in deep learning frameworks, natural language processing, and training large language models using advanced techniques. I take pride in optimizing data workflows on cloud platforms and turning cutting-edge research into production-ready solutions. I specialize in designing robust ML/AI data pipelines and ensuring reproducibility of experiments and models while collaborating with cross-functional teams. My experience spans credit risk modeling, fraud detection, KYC automation, and multi-agent system orchestration. I am passionate about leveraging AI technologies to drive efficiency and accuracy in complex business workflows.

Available to hire

I am an AI/ML Data Engineer with over 5 years of experience building scalable machine learning pipelines and developing proprietary models for finance and risk assessment. I have a strong background in deep learning frameworks, natural language processing, and training large language models using advanced techniques. I take pride in optimizing data workflows on cloud platforms and turning cutting-edge research into production-ready solutions.

I specialize in designing robust ML/AI data pipelines and ensuring reproducibility of experiments and models while collaborating with cross-functional teams. My experience spans credit risk modeling, fraud detection, KYC automation, and multi-agent system orchestration. I am passionate about leveraging AI technologies to drive efficiency and accuracy in complex business workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Software Developer AI at Bank of America
January 1, 2024 - Present
Designed and implemented robust ML/AI data pipelines to support model development and deployment for compliance and risk assessment workflows. Applied deep learning and NLP techniques to financial document analysis, achieving high accuracy. Trained and fine-tuned large language models for KYC use cases, optimizing data workflows with Snowflake to reduce execution time by 60%. Developed Gen AI-powered LangChain agents to automate KYC workflows, cutting processing time by 70% and improving operational efficiency. Built RAG frameworks and fine-tuned domain LLMs with PEFT/LoRA along with continuous evaluation for bias and fairness. Implemented LLMOps monitoring with Weights & Biases in production. Collaborated closely with compliance officers and product teams to deliver production-ready AI solutions, improving false positive rates by 25%. Deployed models on AWS and GCP using container technologies while ensuring governance compliant with regulations.
Student Assistant at University of North Texas
December 31, 2023 - August 26, 2025
Developed full-stack AI applications using React and FastAPI to create interactive learning tools for LLM comparisons and prompt engineering. Employed Azure AI services for student projects and built CI/CD pipelines with GitHub Actions to improve workflow efficiency. Designed monitoring dashboards for ML model performance and implemented Infrastructure-as-Code for consistent Azure provisioning. Delivered technical workshops on AI services, CI/CD, and deployment to over 200 students while improving incident response times and building automated testing frameworks for LLM applications.
Software Engineer Machine Learning at Cognizant (American Express)
December 31, 2022 - August 26, 2025
Designed end-to-end ML/AI data pipelines for credit risk assessment covering 1.5M+ monthly cardholders. Developed and deployed XGBoost models, improving default prediction accuracy and influencing $6M+ pre-tax income gains. Enhanced customer segmentation using semantic modeling and NLP, leading to better marketing strategies. Implemented scalable modeling pipelines on Hadoop and AWS. Built and maintained text classification models with deep learning to predict customer behavior with 88% accuracy. Collaborated with stakeholders to translate ML insights into business impact and developed fraud detection systems processing streaming data to reduce false positives by 25%. Maintained code repositories and ensured reproducibility with Git.
Data/Decision Scientist at UJR Corporate Solutions Pvt. Ltd.
November 30, 2020 - August 26, 2025
Built scalable ML/AI data pipelines for financial market analysis across multiple segments. Engineered historical data processing pipelines in MongoDB with profile-based imputation improving data completeness by 30%. Employed semantic analysis and NLP for unstructured financial data, enhancing prediction accuracy. Developed anomaly detection using machine learning, reducing forecasting errors by 25%. Created various deep learning and statistical models including ARIMA, LSTM, CNN, and XGBoost. Improved query performance and built RESTful APIs for dashboard integration boosting automation by 40%. Collaborated with financial analysts and traders to deploy production-ready trading algorithms and developed dashboards for stakeholder reports.

Education

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Qualifications

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Industry Experience

Financial Services, Education, Software & Internet, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more