Summary
Sina Ehsani is a Senior AI Engineer in Seattle with nine years of experience building and deploying deep learning, NLP, and multimodal systems that bridge research and production. He has a PhD in multimodal deep learning and a track record of translating novel research—reinforcement-guided architectures, on-demand visual grounding, and LLM fine-tuning on clinical text—into practical products. At Armada he led prescriptive intelligence and agentic routing systems that outperform larger proprietary models while optimizing for edge deployment, and built OPUS, an LLM-driven controller for robotic camera systems. Prior roles include forecasting and multimodal model development at American Airlines and Truveta, plus document and vision-transformer work that approached state-of-the-art performance. He holds several patents and publications and mentors junior engineers, demonstrating a rare combination of hands-on engineering, academic rigor, and production-first optimization. Unexpectedly, his continental-scale geospatial analysis of 870,000+ terminal-hours of data uncovered weather-correlated service degradation patterns now used to improve network resilience.
9 years of coding experience
6 years of employment as a software developer
The University of Arizona
Persian, English, Russian, Spanish, Arabic