Gowtham Sai Bodduluri
Ai Ml Engineer @JPMorganChase
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WORK HISTORY
Ai Ml Engineer @JPMorganChase
Designed and deployed machine learning pipelines on GCP and Vertex AI, leveraging TensorFlow and XGBoost, which improved fraud detection accuracy by 18% while reducing model training time by 30%.• Integrated CI/CD workflows with MLflow, automating model versioning and deployment, resulting in 40% faster release cycles for production-ready ML models.• Developed Natural Language Processing (NLP) models for Named Entity Recognition (NER) on banking transaction data, enhancing automated customer query classification and reducing manual processing by 25%.• Built and fine-tuned GPT-4 and LLaMA-based language models for financial report summarization, developing preprocessing pipelines and optimizing models to enable analysts to generate actionable insights 50% faster.• Integrated Retrieval-Augmented Generation (RAG) pipelines with LangChain to retrieve relevant historical transaction data, improving the accuracy and context-awareness of AI-driven recommendations.• Experimented with GANs for synthetic financial data generation, improving training dataset diversity and reducing model bias, resulting in more robust and fair credit risk scoring.
EDUCATION
Kennesaw State University
Masters, Computer Science
ABOUT GOWTHAM SAI BODDULURI
AI/ML Engineer at JPMorgan Chase & Co.
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