Timur Mukayev

Senior Machine Learning Engineer

CVS Health Corporation

A US healthcare company providing health services, pharmacy benefits, and insurance.

Designed and deployed an enterprise GenAI platform and RAG workflows for natural-language access to healthcare and financial data.

• Designed and deployed an enterprise Generative AI platform integrating SAP Analytics Cloud, SAP HANA Cloud, SAP BW/4HANA, and Large Language Models to provide natural-language access to healthcare and financial data. • Architected Retrieval-Augmented Generation (RAG) workflows combining structured enterprise data and unstructured business documentation to improve accessibility of organizational knowledge. • Designed AI orchestration layers for query routing, retrieval, context construction, response generation, and evaluation.

DB Admin-Data Scientist

Anchor Health

Led healthcare data and AI initiatives for operations serving 7,000+ patients and 40,000 caregivers, including ML systems and MLOps workflows.

• Led AI and data initiatives supporting healthcare operations involving more than 7,000 patients and 40,000 caregivers. • Designed enterprise data architecture integrating HHAeXchange, Smartsheets, Azure Synapse, Apache Airflow, AWS, and GCP services. • Developed machine learning systems for patient retention, caregiver ranking, churn prediction, scheduling optimization, and operational analytics. • Built end-to-end MLOps workflows including ETL pipelines, feature engineering, model training, deployment, monitoring, and retraining.

Machine Learning Engineer, Founder

Amal Technologies LLC

Founded an AI consultancy and led development of a Stable Diffusion-based vinyl wrap design tool that raised pre-seed funding.

• Led development and training of a GenAI Stable Diffusion model for an online interior vinyl wrap design tool; the project raised pre-seed funding. • Provided artificial intelligence consultancy specializing in computer vision and natural language processing.

Machine Learning Engineer

Enhance IT

Built and deployed AI applications, including a recipe generator handling 5,000+ daily requests and sentiment and computer vision systems with reported 92–95% accuracy.

• Developed an AI-powered online recipe generator using GPT-3 for recipe creation and Stable Diffusion for image generation. Deployed it through a Flask API handling over 5,000 requests per day, with a reported 98% user satisfaction rate. • Fine-tuned BERT and used RAG for recipe generation and sentiment analysis. • Built a BERT-based Twitter sentiment analysis system that processed over 1 million tweets with 92% classification accuracy.

Machine Learning Engineer

Parqour

Developed and validated computer vision models for license plate recognition using customer datasets of 100,000+ data points.

• Developed computer vision algorithms for license plate recognition systems using YOLO, OCR, and OpenCV. • Trained and validated computer vision models on 100,000+ data points from customer vehicle and driver datasets. • Enhanced algorithm accuracy and robustness across diverse conditions. • Delivered projects on time in an Agile environment during a year-long contract.

Master of Sciences, Robotics

University of Bristol

Mechanical Engineer

Kazakh-British Technical University