Sahand Mozaffari

About Sahand Mozaffari

I am a Machine Learning Engineer with experience building and deploying large-scale ML systems across LLMs, computer vision, NLP, and time-series forecasting. I’ve worked end-to-end on ML solutions—from data pipelines and distributed training to deployment, monitoring, and model optimization in production environments.My recent work includes improving Walgreens’ demand-forecasting models to reduce working capital, building LLM-powered customer support systems, and implementing voice biometric authentication pipelines. Previously, at Microsoft, I engineered the training infrastructure for a multi-modal embedding model that scaled 10× beyond prior state-of-the-art systems.I enjoy reframing complex problems, designing clean and scalable ML systems, and collaborating across product, engineering, and research teams.

Experience

1. Machine Learning Engineer

   Walgreens

   Apr 2023 — Present · Bellevue, WA, US

   At Walgreens, I design and deploy large-scale machine learning systems supporting forecasting, customer experience, and healthcare operations. My work spans end-to-end ML development — from feature engineering and model architecture to distributed training, deployment, and production monitoring.Key contributions:• Demand Forecasting: Led the redesign of Walgreens’ demand prediction models for pharmaceutical items, improving feature engineering, data pipelines, model architecture, and evaluation metrics. Delivered a 10% reduction in working capital while maintaining customer satisfaction.• LLM-Based Customer Support: Built and deployed large language model (LLM) chatbots that help customers navigate Walgreens services and resolve queries, improving automation and reducing support load.• Voice Biometrics Authentication: Developed a voice-based authentication system enabling secure, frictionless customer verification over the phone.• Causal Inference for Patient Engagement: Applied causal inference techniques to identify optimal communication timing and channels for prescription refill reminders, contributing to improvements in patient retention and engagement.

Education

• Sharif University of Technology

  Bachelor's degree, Mathematics

  2013 — 2016

• University of Illinois Urbana-Champaign

  Master of Science - MS, Computer Science

• Sharif University of Technology

  Bachelor's degree, Computer Engineering

  2011 — 2016