Shownotes Transcript
At scale, anything we build is going to involve people. Many of us have personal schedules and to-do lists, but how can we scale that to hundreds or even thousands of people? When you file a help ticket at a massive company like Google or Facebook, ever wonder how that ticket is processed? Sanjay Siddhanti, Akasa’s Director of Engineering, is no slouch when it comes to navigating massive workflow engines – and in today’s episode, he shares his experiences in bioinformatics, workflows, and more with us.
00:00:39 Workflow engine definitions
00:01:40 Introductions
00:02:24 Sanjay’s 8th grade programming experience
00:05:28 Bioinformatics
00:10:29 The academics-vs-industry dilemma
00:16:52 Small company challenges
00:18:18 Correctly identifying when to scale
00:24:04 The solution Akasa provides
00:31:38 Workflow engines in detail
00:36:02 ETL frameworks
00:45:06 The intent of integration construction
00:47:13 Delivering a platform vs delivering a solution
00:50:04 Working within US medico-legal frameworks
00:53:28 Inadvertent uses of API calls
00:55:47 Working in Akasa
00:57:09 Interning in Akasa
00:58:35 Farewells
**Resources mentioned in this episode:
Sanjay:
- Twitter: https://twitter.com/siddhantis)
- Linkedin: https://www.linkedin.com/in/sanjaysiddhanti/)
Akasa:
- Website: https://www.akasa.com)
- Sanjay’s Q&A https://akasa.com/blog/10-questions-for-sanjay-siddhanti-director-of-engineering-at-akasa/)
- Careers: https://akasa.com/careers/)
- Interning: https://www.linkedin.com/jobs/view/research-intern-ai-spring-summer-2023-at-akasa-3206403183/)
References:
Episode 33: Design Patterns:
https://www.programmingthrowdown.com/2014/05/episode-33-design-patterns.html)
The Mythical Man-Month:
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