Kulateja Maraka

About Kulateja Maraka

I\'m a passionate and results-driven Machine Learning Engineer with 7+ years of experience…

Experience

1. Genai Ml Engineer

   Wells Fargo

   Feb 2025 — Present · Charlotte, NC, US

   Generative AI Solution Development Design and implement GenAI solutions using large language models (e.g, GPT-4, Gemini, Claude) for use cases such as document summarization, question-answering, and intelligent search.2. Model Training and Fine-tuning Fine-tune pre-trained models using proprietary financial datasets to align with Wells Fargo\'s internal use cases, ensuring model accuracy and relevance.3. LLM Pipeline Engineering Develop secure, scalable ML pipelines for end-to-end LLM workflows including data preprocessing, embedding generation, prompt engineering, and inference serving.4. Use Case Implementation Build AI systems for use cases such as: Risk and compliance automation Fraud detection and prevention Intelligent document processing (contracts, regulatory filings) Customer support automation via GenAI-powered chatbots5. Performance Optimization Optimize model latency, memory usage, and throughput for real-time and batch inference in production environments.6. Collaboration and Integration Work cross-functionally with data scientists, MLOps engineers, product managers, and domain experts to deploy models into production systems.7. Responsible and Explainable AI Ensure models meet ethical AI principles by incorporating explainability (e.g, SHAP, LIME), bias checks, and alignment with regulatory requirements (e.g, GDPR, OCC).8. Monitoring and Model Evaluation Implement robust monitoring for model drift, accuracy degradation, and data quality to support long-term model lifecycle management.9. Cloud and Tooling Stack Utilize cloud infrastructure (AWS/GCP/Azure), ML tools (MLflow, Hugging Face, LangChain), and DevOps practices for scalable deployment.10. Documentation and ComplianceMaintain detailed technical documentation, model cards, audit trails, and ensure all deployments comply with Wells Fargo’s data governance and security policies.