A quick round of introductions.

My name is Hk.

I spent 4 years studying Social Science, Cultural Studies and Media Production at the University of Linkoping in Sweden.

I then spent another 4 years teaching Hypermedia, Game studies and Mixed Media Art at the same university.

At the same time I worked as a programmer and project manager for the Virtual Reality studio within the university (NVIS), mostly developing more or less experimental social science visualization applications.

Not entirely satisfied with the working conditions within the academic world, and with a growing desire to explore my life long fascination with Japan, I decided to move to Tokyo in December 2004.

I spent 2005 studying Japanese at Kai Japanese School in Shin-Ookubu/Tokyo, but decided to quit and start looking for a job just before entering Level 5 of 8.

December 2005 I joined a medium sized development / consulting firm in Ebisu, Tokyo as a Software System Architect.

November 2008 I quit Silicon Studio and went to work for SGI (Silicon Graphics Inc.) in Tokyo. At SGI I did project management, development and business strategy planning, but only for about 6 months before I was approached with an offer to join a different firm here in Tokyo.

While I cannot tell you the name of the company that I work for now, let me just say that I have returned to some of my long standing interests: CG, RT Rendering and software development projects in general. Also, I get to learn a lot about the Japanese mobile phone market/tech.

My Main Interests include (in no particular order):

• Love
• Programming Languages
• Software Factories
• Computer Graphics
• User Interfaces
• Operating Systems
• Connected Systems
• Network Engineering
• Project Management
• Development Methodologies
• Ubiquitous Computing
• Social Science
• Politics
• Pottery
• Bamboo
• Geography
• Time
• Space
• Food
• Alcohol
• Fruits
• Woodworking

That’s it for me, next!

The jargon file defines the term Hash Bucket as follows:

hash bucket: n.

A notional receptacle, a set of which might be used to apportion data items for sorting or lookup purposes. When you look up a name in the phone book (for example), you typically hash it by extracting its first letter; the hash buckets are the alphabetically ordered letter sections. This term is used as techspeak with respect to code that uses actual hash functions; in jargon, it is used for human associative memory as well. Thus, two things ‘in the same hash bucket’ are more difficult to discriminate, and may be confused. “If you hash English words only by length, you get too many common grammar words in the first couple of hash buckets.” Compare hash collision.

http://catb.org/~esr/jargon/html/H/hash-bucket.html