Sana Arastehfar

Health Pod, Incubate Sector

• Own the technical strategy and end-to-end delivery of enterprise AI platforms, partnering directly with clients to translate ambiguous business problems into scalable production solutions and engineering roadmaps.
• Design and develop production-grade AI software using FastAPI, LangGraph, LangChain, Snowflake, Azure, Docker, GitHub Actions, and MLflow, building modular backend services, REST APIs, CI/CD pipelines, and comprehensive automated testing frameworks.
• Delivered multiple production AI systems across healthcare and financial services, including neural survival analysis, vaccine demand forecasting, LLM-powered clinical document processing, and automated financial underwriting platforms.
• Architected a multi-agent decision-support platform for healthcare using LangGraph and Arize AX, enabling counterfactual reasoning with end-to-end observability, agent evaluation, latency monitoring, and token analytics.
• Provide technical leadership through software architecture, design reviews, technical documentation, and mentorship for engineers and data scientists across multiple concurrent client engagements.

Residential Fire Prediction

• Developed and deployed ML models predicting residential fire risk across the United States using SQL, Python, and PyTorch, including time-series analysis to identify high-risk areas for proactive resource allocation.
• Built Streamlit dashboards for data-driven decision-making and presented findings directly to stakeholders and external partners, translating technical results for non-technical audiences.

Forecast Short Term Return Values Of Stock Market

• Built ML forecasting models (ARIMA, LSTM) in Python/PyTorch for the Iran stock market, collaborating with data scientists, analysts, and financial experts to integrate models into live trading strategies.
• Presented model outcomes and data insights to stakeholders to support investment decisions.

Bio Signals Recording Device Production

• Co-founded and ran full operations of a biomedical device startup end-to-end: product development, market launch, team leadership, budgeting, and fundraising - direct experience owning accounts and outcomes.
• Led engineers to deliver regulatory-compliant devices, expanding the product line to include SnapECG.