~/talk

Your career choices as an optimization problem

github:gilhoffer
slides:none on file

Explores treating an engineering career as an optimization problem by identifying the choices available, defining the objective function (what to optimize), and uncovering hidden factors that affect outcomes. Uses optimization-thinking familiar to engineers—trade-offs, constraints and evaluation—to analyze whether some career moves are systematically better or worse.

AI-written summary · about

  1. 0:00Start
  2. 2:40Iterative Solutions
  3. 2:55My Iterative story
  4. 3:40Screw
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.