Vlad Zakharin

Architected and deployed an AI-powered medical scribing platform, reducing documentation time by 90%. Developed real-time speech recognition models and fine-tuned LLMs for structured medical notes. Utilized Kubeflow for ML lifecycle management and integrated multilingual NLP capabilities for global healthcare.

Led the development of predictive search algorithms and customer profiling systems using NLP. Enhanced the recommendation engine with real-time data streaming and optimized backend infrastructure for scalability. Developed time series forecasting models for pricing strategies.

Developed a personalized course recommendation engine using collaborative filtering techniques. Analyzed user behavior data and optimized system performance for real-time recommendations.

Led the development of machine learning models for the Google Knowledge Graph, enhancing search relevancy. Utilized NLP techniques for entity extraction and collaborated on integrating the Knowledge Graph into Google Search.

Developed predictive models to detect fraudulent claims, improving accuracy by 20%. Designed ETL pipelines for data integration and enhanced OCR accuracy for scanned documents.

Assisted in data preparation for risk modeling and supported the development of predictive pricing models for insurance products by analyzing historical claims data.

Grade: 3.7/4.0

Completed a Master of Science in Computer Science with a focus on advanced computational techniques and machine learning applications.

Grade: 3.9/4.0

Earned a Bachelor of Science in Applied Mathematics and Statistics with a concentration in Economics, emphasizing quantitative analysis and statistical methods.