The previous article in this series: AI Engineering @ the Speed of Startup: A model architecture

This article series explores a guideline for researchers and engineers to apply in AI research and development in a regulated setting in a sustainable fashion. It serves primarily as a thinking framework but greatly pragmatic.

We speak in Python, JavaScript, TypeScript and C#. We are always hiring — check out our careers page.

Contents

The industry-regulated startup constraintsAgile thinking into actionThe three layers of sustainable AI engineeringThe maintainability mindset (1st article) ├── Can we maintain this architecture? ├── What is the cost…


The first part of the article series: AI Engineering @ the Speed of Startup

This article series explores a guideline for researchers and engineers to apply in AI research and development in a regulated setting in a sustainable fashion. It serves primarily as a thinking framework but greatly pragmatic.

We speak in Python, JavaScript, TypeScript and C#. We are always hiring — check out our careers page.

Contents

The industry-regulated startup constraintsAgile thinking into actionThe three layers of sustainable AI engineeringThe maintainability mindset (1st article) ├── Can we maintain this architecture? ├── What is the cost of change…


In the startup world, lower go-to-market time is always desirable. Lean startup principles promote rapid product delivery at a compromised quality. Rapid product delivery is lucrative because it allows the business to discover its customers and customer needs at a relatively lower upfront cost. It also decreases the uncertainty of building something nobody wants. This article explores the broad AI engineering challenges we encountered and the organizational foundation and guidance we created to solve them.

We, at Ezra, do not just write and ship code. …


How likely are our customers to recommend our products to others? — a simple yet powerful tool customer service teams use to gauge and sense if the company is doing things right.

The answer to the above question could be given on a 0–10 scale. Based on the number given, they could be clustered into the following groups:

  • 0–6: unhappy — they might be not only looking for a way out but also possibly speaking ill of the engineering group and/or the company
  • 7–8: passives — they are satisfied, but they are also in the market and possibly exploring opportunities…

A universally applicable yet straightforward to understand tool can help you make sense of task priority. When you are swamped with work, ask this decision matrix for guidance.

Are you familiar with any of the following scenarios?

  • We are never doing anything significant, neither benefitting ourselves nor humankind
  • We are always firefighting, stressed out, and going through mental trauma
  • We are doing considerable work but never on time, so we are missing out on the rewards

Instead, we should be doing substantial work at the right time so that both you and humankind are benefitted from your work. …

Tanzim Saqib

Creating “Engineering Brain” in your organization. Blog: https://tanzimsaqib.com

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