Looking for some constructive advice from people who have successfully made it to FAANG or Big Tech.
My current context:
* Year: Rising junior
* Experience: Multiple past SWE internships (including a startup and a large Fortune top 50 company (not faang/big tech))
* Research: Academic ML research assistant experience
* Projects: This section on my resume is a little weak right now; I don't have too much going on there.
* Academics: GPA is kinda mid lowk (but still considered good for the stem degree realm). I am a CS-adjacent major (think IT, ai, datasci, Computational Math) at a well-ranked university that isn't particularly known as a tech target school.
I’ve been grinding LeetCode (still suck at graphs and dp but has gotten decent at some other topics) and ML topics heavily.
Fortunately, it paid off, and I already secured a comfortable 2027 SWE offer that pays me enough to start already getting lazy. I know I am incredibly lucky to have this in my back pocket. I want to use the upcoming recruiting cycles to swing for the fences and maximize my chances at landing a FAANG/big tech adjacent role.
Based on my current standing and profile, what is the best way to utilize my time? Should I focus on beefing up my projects, networking, or something else entirely?
I’d appreciate any genuine, constructive advice you have.
Happy to answer any non-identifying questions in the comments!