Rob Capo is a Senior Software Engineer in New York with 11 years of experience building backend web applications, voice platforms, speech recognition systems, and infrastructure—currently contributing to Google Assistant Language Understanding. He blends hands-on implementation (from VoIP gateways and ASR/TTS integrations to scalable backend services) with technical leadership and clear communication to business stakeholders. At Google he focuses on infrastructure and machine learning-adjacent architecture, and his open-source contributions include improving the googleapis/api-linter's error handling and span reporting. Earlier roles range from leading voice integration for Amelia at IPsoft to running an ecommerce business and teaching engineering, showing a mix of product ownership and applied research. He holds a BS in Computer & Electrical Engineering and an MS in Machine Learning, reflecting a strong foundation in both systems and algorithms. Notably, his background spans low-level audio/telephony protocols (SIP, RTP, MRCPv2) through high-level ML-driven language understanding, enabling pragmatic decisions across the stack.
11 years of coding experience
5 years of employment as a software developer
BS, Computer & Electrical Engineering, 3.6, BS, Computer & Electrical Engineering, 3.6 at Rowan University
Contributions:136 commits, 43 PRs, 70 pushes in 5 months
Contributions summary:Rob primarily contributed to the `api-linter` project by modifying the source code to improve the linter's functionality. Their work focused on refining the error handling and location information within the linter's source code. The user made improvements by renaming and removing unused errors and adding new error handling for spans. Further, the user restructured code by changing a `StartLocation` to a factory.
Contributions:27 commits, 14 pushes, 1 branch in 6 months
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