Raja N
Ai Ml Engineer @Wells Fargo
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WORK HISTORY
Ai Ml Engineer @Wells Fargo
Designed and optimized RESTful APIs using FastAPI and Flask for AI-driven financial applications, ensuring low-latency responses and scalable microservices architecture.Fine-tuned pre-trained LLMs like GPT-3, BERT, and Llama-2 to generate personalized financial recommendations, perform sentiment analysis on financial discussions, and summarize user queries for better decision-making.Leveraged Python libraries like Pandas, NumPy to preprocess and analyze large datasets, enabling efficient feature engineering and model optimization.Developed and Integrated Generative AI models, including GANs and Retrieval-Augmented Generation (RAG) approaches, to automate content creation, enhance query-answering systems, and improve decision-making processes.Developed and optimized large-scale ETL pipelines using PySpark and Databricks, processing terabytesof structured and unstructured data for AI-driven analytics.Trained and deployed large-scale transformer models using PyTorch and Hugging Face Transformers, improving the application\'s NLP capabilities for intelligent financial guidance.Deployed fine-tuned transformer models via Hugging Face\'s Model Hub, FastAPI ensuring scalable and efficient AI inference.Developed dynamic and responsive user interfaces using Angular, JavaScript, HTML, and CSS, enhancing user engagement for AI-powered financial dashboards.Optimized SQL queries and geospatial database management to support large-scale AI data pipelines, ensuring fast and accurate data retrieval.
EDUCATION
Lamar University
Master's degree
ABOUT RAJA N
Wells Fargo integrates cutting-edge AI/ML solutions to transform financial…
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