#gmi or ngmi
1 messages · Page 1 of 1 (latest)
gmi
any tips that could improve it?
prob new projects like u said
but ur already incoming save the jobs đź’”
all the best
dw im safe
oh nice
I need new projects too
what does CFAANG stand for
c1, facebook (meta), apple, amazon, netflix, google
c1 essentially snuck itself in there but we take those
yea u can prob guess which one i am form that LMAO
I think so
C1 is good though
yea im shooting high next summer, c1 intern gives p good career trajectory despite the shit it gets lol
gl man
thank you, u too
wdym
@bright abyss any thoughts
pretty good tbh, u can drop a line of coursework
thank you🙏
i was thinking about what to do with masters coursework
its probably best to just include it in the same coursework section right? and cut it down a bit too
for the ml experience focus on more on the ml and less on the bio (any kernel dev/ml perf you did, details on the model architecture, performance, details on how you improved model performance)
yeah same section
but lowk u can just drop the ug coursework
u only really need about a line of coursework max
Ah okok ill keep dsa and wtvr masters coursework i do and keep it to one line
the startup project kinda looks ngmi ngl
yea it lwk is ngmi idk how to larp it better🥀 🥀
ngl everything is censored, idk what to make of it
all the experiences are small or school related, except incoming c1
so im just looking for content feedback
looks p good
Strong resume, you have no shortage of good material to work with.
My personal suggestions for making yourself stand out:
- Try to add a little more context so that it is clear why your accomplishments matter. One strong bullet matters more than 2 weak ones. Always imagine the recruiter reading through it and ask whether they have room to ask 'so what?' after reading any of your bullets.
- IMO youre safe to remove concepts from technical skills as well as drop HTML/CSS, I doubt either will get you many points from recruiters or even an ATS
- Adding ECFP or CGSchNet is probably too academic for most recruiters, it wont give you much unless youre targetting very specific roles. Drop it if you're keen on general SWE
Now take this last point with a BIG grain of salt (especially since youre still early career). Recruiters will prefer to pick the more tightly fitting candidate over the one with more breadth, regardless of competence. That is, if you want to do python and target python roles then mention and elaborate on those points at the expense of say React related things, there is value in omission even if it seems like strong experience.
what’s the quality of the conference/journal it got accepted to + is the topic of the paper swe/ml related
not super prestigious (AIIDE) and topic is ai for entertainment/media
but besides that any other resume improvements that can be said?
probably worth a line under education
like Publications: ...
i like the ml bullets much better now
glad to know that