Nadim Kawwa

WORK HISTORY

EDUCATION

ABOUT NADIM KAWWA

Senior Data Scientist specializing in Large Language Models (LLMs) and MLOps, with deep expertise in building end-to-end ML systems for document intelligence and natural language processing. Technical Focus:• Python, SQL, and Git: bread and butter of every data scientist• Architecting production-grade RAG systems and LLM applications using AWS Bedrock, Sagemaker, PineCone Vector DB, Claude, and custom fine-tuned models• Developing distributed data processing pipelines with Dask and AWS Fargate• Implementing vector search solutions using Pinecone and BERT embeddings• Building scalable MLOps infrastructure on AWS Sagemaker• Designing real-time monitoring and analytics systems for ML performance Currently leading DS/ML initiatives at Prophia, where I\'ve:• Reduced document processing costs by 10x through optimized LLM architectures• Scaled document processing capacity 5x via distributed computing• Improved NLP model accuracy by 15% using advanced vector embedding techniques• Architected production chatbots enabling semantic search across complex documents My unique background combines data science expertise with structural engineering (UC Berkeley, M.S.), enabling me to approach complex data challenges with both analytical rigor and practical engineering mindset. Passionate about:• Pushing the boundaries of LLM applications in enterprise settings• Building scalable, production-ready ML systems• Optimizing ML infrastructure for performance and cost• Solving complex business problems through innovative ML solutions Known for delivering end-to-end ML solutions that combine cutting-edge technology with practical business value. Always #MachineLearning #LLM #MLOps #AWS #DataScience #ArtificialIntelligence #NLP #DistributedComputing #HuggingFace #Python #SQL