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Hello Reader, Not that long ago I spoke to the computer science and business club at Rutgers University (ranked number one in New Jersey for both engineering and computer science). Talking with those students took me right back to my own college years in India. Studying engineering. It did not work that way, and the detour cost me almost a decade. I got trained on a tech stack that turned out to be pretty much useless in the real world. It took me nearly 10 years to retool from mainframe into cloud. If I had been paying attention to where the industry was heading instead of where my syllabus was pointing, I could have cut that timeline dramatically. But that was only half the lesson. When I got to the other side of the table - leading interviews at Amazon - I saw candidates making a different version of the same mistake I made. They were not getting rejected because they answered questions wrong - the technical knowledge was fine. They were getting passed over for a reason most engineers never think to prepare for. I break down exactly what that reason is in the talk, including the specific patterns I saw again and again, and what those Rutgers students were doing differently that already had most of them holding offers at Amazon, JP Morgan Chase, and Goldman Sachs before graduation. I also share the five things I wish I had understood at 22 - the ones that would have made my path into big tech faster and a lot less painful. Some of them are obvious in hindsight. One of them involves a mustache. You will have to watch to know what I'm talking about. If you are early in your career, switching roles, or just feel stuck, this one is worth 8 minutes of your time. Watch it here: What I Wish I Knew In My 20's (Now I Am 45)β Keep learning and keep rocking π, Raj P.S. If you have found this newsletter helpful, and want to dive deeper... Everything I teach on AWS, System Design, Kubernetes, and DevOps - all in one Skool classroom. Build the technical depth at your own pace, and get every new course I release: Join Hereβ π₯ Free tutorials on Cloud Gen AI + interview prep on my YouTube channel: Hereβ π The SA Bootcamp is the full transformation - hands-on practice through Cloud Colosseum, interview prep, mock interviews, and resume reviews, and so much more... βJoin the waitlist to be first in when the next cohort opens. |
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Hello Reader, Most freshers struggle to land one solid offer in this market. Will landed AWS, an FBI internship, and a full-time offer at Scale AI before turning 21. He did not go to a Ivy League school. What he had was a system, and he started running it in his first two months of freshman year. Here is what that system actually looked like. Starting early is not a cliche, it is the entire strategy Will started networking for AWS in September of his freshman year, one month into college. He...
Hello Reader, Anthropic announced that future Claude AI models will embed machine-readable invisible watermarks directly into generated text. We all know about watermark on the images - it's some faint logo, text, signature on the image background or an attribute in image metadata. This prevents someone copying and using the an original image as their own. BUT, how can a text have watermark? Text is just text, and moreover if you copy text from model output to notebook to LinkedIn, how can...
Hello Reader, If you want to join but havenβt made up your mind yet, this is the last chance to do so. There are less than 10 spots available. Because this program includes direct support from Raj, spots are limited - once they're gone, they're gone. Claim my spot before it's gone This bootcamp works, as proven by previous bootcampers and mentees getting jobs at top companies, FAANG, and other cloud roles, even when coming from non SA backgrounds. As a quick recap, here's what joining this SA...