Mohamad Mo Abdi

About Mohamad Mo Abdi

I’m a Software Engineer and University of Washington Computer Science graduate focused on building scalable, data-intensive systems and applied AI solutions that solve real-world problems.My work spans cloud-native applications, intelligent document processing, and AI-assisted workflows that bridge core software engineering with modern machine learning and LLM-driven systems. I’ve contributed to production platforms involving large-scale data extraction, distributed processing, and performance-critical backend services, as well as polished, user-facing interfaces.Previously at Amazon and currently at The Zig, I’ve worked on systems that automate complex, time-consuming workflows, ranging from financial document intelligence to end-to-end service platforms that emphasize reliability, auditability, and real-world usability.I enjoy tackling ambiguous problems, designing systems that scale beyond their first use case, and continuously learning at the intersection of software engineering, data, and applied AI. I’m especially interested in building tools that turn messy, unstructured information into clear, actionable insights.Always open to connecting with engineers, builders, and teams working on meaningful, technically challenging problems.

Experience

1. Software Engineer

   The Zig

   Oct 2025 — Present · Bellevue, WA, US

   Currently working on an AI-powered intelligent document extraction platform for a financial services client (Stout Financial), focused on automating data extraction from large, complex financial documents. Designing and implementing a relational database hosted on Azure, and developing APIs to serve structured extraction results. Worked extensively with Azure Document Intelligence to extract, highlight, and trace financial fields back to their source locations. Improved system performance through parallelized extraction workflows and enhanced LLM output quality through prompt engineering, with ongoing work in fine-tuning and reinforcement learning to increase semantic accuracy across document types.

Education

• International School of Bellevue

  High School Diploma

• University of Washington

  Bachelor's Degree, Computer Science