please cook (Roast complete, taking down resume)
#UIUC NGMI
terse ravine
autumn jacinth
is backend system time generally measured in minutes?
1 billion minutes sounds so weird lmao
terse ravine
is backend system time generally measured in minutes?
No i was just trying to show scale
terse ravine
No i was just trying to show scale
even though that isnt a huge amount just to show that there was at least some significance to my work
autumn jacinth
I have no idea what u mean by 2nd point in the first swe experience, tf is proof of concept for schema validation
are u engineer or consultant?
still shale
show not tell
autumn jacinth
tbh I think you could use more numbers/metrics. I try to have a metric and number/result for each bullet point in my resume @terse ravine
still shale
tied with princeton 
keen hare
Take gpa off our courses with education
autumn jacinth
cuz recruiters like results and numbers
still shale
say which components you worked on
keen hare
I would have 4 bullet points for each internship
still shale
recruiters want to see your individual contributions, not the team's
thin vector
damn, uiuc ngmi?
autumn jacinth
also for ur research intern, since I have actual ML experience I can say that anytime u improve a model performance, you have to say what the baseline was. Simply saying implemented efficientV2 or whatever doesnt mean much, How was it implemented? did u import a library, or did u fine tune a pre-existing model? How can u be sure the improvement was from fine tuning the model and not from cleaner data processing, different hardware or parallel training?
3rd point imo is not necessary, rather replace it with something more measurable
each section needs to tell a mini story using STAR method, so far mostly u have the T and A down, but missing R
for the spellchecker project, u had both c++ and express backend?