Neel Patel

About Neel Patel

I’m a software engineer who enjoys building systems that quietly manage complexity at scale, especially the behind-the-scenes layers of products such as logic, workflows, and data pipelines that keep everything running reliably. I’m drawn to problems where structure and clarity matter, turning ambiguous requirements into well-defined logic, organizing messy data into meaningful insights, and designing systems that remain stable as they grow. Over time, I’ve developed a strong appreciation for software that supports real-world decision-making across operational workflows, risk analysis, automation, and intelligent systems. The intersection of backend engineering and AI particularly interests me, especially building tools that not only process information but also help people interact with it more effectively. I value clarity, ownership, and thoughtful execution, and aim to build systems that are dependable, maintainable, and designed with long-term thinking in mind. Always improving systems and continuously learning how they can be better.

Experience

1. Software Engineer

   eBay

   Aug 2024 — Present · US

   I worked on backend systems supporting high-volume event processing in a large, distributed marketplace. My role focused on building reliable Python services and data pipelines that converted real-time transaction signals into structured, actionable data used across internal platforms.• I designed and maintained low-latency APIs and background workflows handling millions of daily events, with an emphasis on correctness, scalability, and operational stability. This included orchestrating data processing jobs, implementing feature extraction logic, and ensuring downstream systems could rely on consistent, well-validated data.• In addition to backend development, I contributed to internal tools that helped teams explore and act on system-generated signals, reducing manual effort and improving efficiency. I collaborated closely with engineers and stakeholders to turn ambiguous requirements into dependable systems. The services were deployed on AWS and built to scale with traffic, with strong emphasis on testing, automation, and CI pipelines to improve release confidence and reduce production issues.

Education

• San José State University

  Master of Science - MS, Computer Software Engineering

• Indian Institute of Information Technology Vadodara

  Bachelor's degree, Computer Science

  2018 — 2022