Rajesh Pandey-Principal Engineer @ AWS
Aryan Shukla Mohindra
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Rajesh Pandey-Principal Engineer @ AWS
69 просмотров · Трансляция закончилась 12 дней назад
Aryan Shukla Mohindra
81 подписчик
69 просмотров · Трансляция закончилась 12 дней назад
Rajesh Pandey, Principal Engineer at AWS, joins the podcast to break down why understanding the “what” and “why” behind a problem is a critical part of creating enterprise value as an engineer , and why reasoning, judgment, and outcome-focused thinking are becoming even more important as AI reshapes engineering workflows.
In this episode, Rajesh explains how strong engineers look beyond the technical task itself to understand the customer, the business problem, and the outcome the solution is ultimately supposed to create.
In this episode, we cover:
1) Why understanding the “what” and “why” behind a problem is essential to building technical solutions that create meaningful enterprise value.
2) Rajesh’s work with Alexa, including developing a low-latency engine using rule-based logic and the engineering considerations behind creating responsive systems at scale.
3) How Rajesh approaches entering new industries, adapting to changing environments, and understanding new customer segments so he can make better-informed engineering decisions.
4) How Rajesh guides younger engineers to focus on the bigger picture — moving beyond individual technical tasks to understand the business and customer problems they are actually solving.
5) Why engineers should increasingly think in terms of outcomes rather than simply implementation, and how this mindset leads to better technical decisions and greater organizational impact.
6) Why reasoning and judgment are becoming more valuable as AI automates more engineering workflows, and how engineers differentiate themselves through the decisions they make rather than just the code they produce.
7) What Rajesh looks for in how engineering candidates leverage AI — including whether they can use it thoughtfully while still demonstrating strong reasoning, judgment, and understanding of the underlying problem.
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