At Prozech, I build and deploy predictive models, RAG-enabled knowledge retrieval systems, and automated ML pipelines on AWS SageMaker, supporting 50K+ daily predictions. My work has reduced retrieval time by 45%, improved inference speed by 35%, and delivered production models that impact revenue and engagement.
Previously at Anvizon, I developed customer-behavior models that increased conversion by 28%, built Spark and SQL pipelines processing 500GB+ monthly, and implemented fraud detection that identified 95% of suspicious transactions and helped prevent $2M+ in potential losses. I'm currently pursuing an M.S. in Data Science, Analytics and Engineering at Arizona State University.
