Hassan Raza

About Hassan Raza

I build scalable financial and data systems that operate in real-world, high-volume environments. I’m a Software Engineer with 8+ years of experience across startups, global tech companies, and AI-focused organizations. My work focuses on financial infrastructure, distributed systems, and AI-powered applications, designing systems that handle complex workflows, high-throughput transactions, and production-scale data. At Overflow App Inc, I design and scale backend systems for a nonprofit financial platform processing over $1B annually across organizations, supporting both traditional payments and non-cash assets like stock, cryptocurrency, and donor-advised funds. My work includes building payment infrastructure (Apple Pay, Google Pay, Tap-to-Give), distributed data pipelines processing millions of records, and AI systems such as natural language → database query pipelines with secure multi-tenant data controls. Previously, at Amazon, I contributed to backend systems powering global hiring infrastructure supporting ~1.5M workers, building scalable services and event-driven pipelines across regions. I also worked with Scale AI, where I evaluated and improved LLM-generated code systems for real-world engineering use cases. Beyond my core work, I’m actively building AI-native systems, including an AI-first ERP and developer tools exploring how AI can function as a core system layer, not just an add-on. My focus is simple: build systems that scale, handle real-world complexity, and apply AI where it actually works in production.Beyond engineering, I’m driven by curiosity, exploring the intersection of AI and cloud systems, and occasionally diving into astronomy and the broader questions around complex systems and the universe.

Experience

1. Software Engineer

   Overflow

   Apr 2024 — Present · Mountain View, CA, US

   Built and scaled backend systems for a nonprofit financial platform processing $1B+ annually across organizations, supporting both cash and non-cash donations.• Developed secure, cloud-native infrastructure and APIs to handle sensitive financial and donor data at scale.• Designed and implemented distributed data pipelines and ingestion workflows, processing millions of donation records across multiple sources.• Developed AI-powered systems for fundraising insights, including backend logic and data pipelines enabling automated donor analytics.

Education

• Maharishi International University

  Master of Science - MS, Computer Science

• The University of Lahore

  Bachelor’s Degree, Computer Science

  2015 — 2019