Scale, Density & Looking Up
Walking across Manhattan after working in New Jersey—noticing how vertical density, subway transit, and street-level commerce compress an enormous amount of human ambition into a few square miles.
PERSONAL FIELD JOURNAL // ARCHIVE 04
Working in unfamiliar places, walking through cities, and keeping track of personal interests outside formal study and market research.
01 — WORK & TRAVEL
FIELD DISPATCH // ATLANTIC CITY BOARDWALK & SHIFT WORK
Participating in the Work & Travel program in the United States meant stepping completely outside the familiar rhythm of university lectures in Malaysia and spending a summer working in Atlantic City, New Jersey.
Daily life revolved around shift schedules, uniforms, boardwalk crowds, and learning how to handle practical responsibilities in an unfamiliar environment with strangers who quickly became coworkers.
Atlantic City was loud and fast-paced on the surface, yet the experience itself taught a quieter kind of independence—solving everyday problems on your own before they ever turn into a story.
OBSERVATION
“Boardwalk lights, practical problems, and the kind of learning that does not ask for permission first.”
02 — PLACES & FIELD NOTES
Walking across Manhattan after working in New Jersey—noticing how vertical density, subway transit, and street-level commerce compress an enormous amount of human ambition into a few square miles.
Commuting between Klang, Petaling Jaya, and the Universiti Malaya campus—observing how rail extensions, highway bottlenecks, and neighborhood commercial districts shape daily economic life.
Exploring South Korea both as a place to travel and as an economic case study where semiconductor manufacturing, export discipline, and cultural industries intersect—later inspiring the KOSPI Signal Monitor.
03 — PERSONAL INTERESTS
Practicing classical guitar offers a counterbalance to analytical and digital work. Progress on the instrument cannot be rushed—it comes from slow repetition, attention to tone and finger placement, and patience over months and years.
Long before building Python valuation scripts, curiosity meant opening up faulty second-hand smartphones, replacing components, and seeing how consumer electronics are put together on the inside.