In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
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In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
#195: Patterns, paradigms, and pythonic thinking with Rodrigo Girão Serrão
Pybites Podcast
51 minutes
5 months ago
#195: Patterns, paradigms, and pythonic thinking with Rodrigo Girão Serrão
In this ep, we chat with Rodrigo Girão Serrão about his journey from mathematician to Pythonista. What started as a colleague’s tip turned into 11 years of Python exploration. Rodrigo shares how his background in APL reshaped the way he writes Python, helping him embrace list comprehensions and functional patterns more intuitively. We dig into his latest side project—a bytecode compiler written in Python—and what that reveals about how Python really works under the hood. Rodrigo unpacks dunde...
Pybites Podcast
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
