Hi! I'm Sotiris Chatoupis but you can call me Sot!
I studied electrical engineering but later on,I found myself falling in love with design and especially product design.
I am interested in all stages of Design Thinking, while I love working closely with all other fields such as marketing, business, dev teams and pms.
Currently, I’m working as a senior product designer at dSphere.io
Managing creatives is another aspect of work that I found myself interested in a lot, having 4 years experience managing small teams
I love travelling, reading books, watching netflix and playing guitar! I also love listening to podcasts, these are 3 of my favorite. The Crazy One Podcast, The Lex Fridman Podcast and the All-In Podcast.
Some of my favorite design books are, The Design of Everyday Things by Don Norman, Hooked by Nir Eyal and Rocket Surgery Made Easy by Steve Krug.
Btw I'm a big tennis fan, and the co-host of the Greek Tennis Podcast with my buddy Stathis.
If you are not interested in my design work but you want to hit some tennis balls, you can still contact me :) 💪🎾


The 20 fastest-disappearing jobs in America, Business Insider - Business Insider Singapore
by Andy Kiersz, Business Insider US- Every two years, the Bureau of Labor Statistics releases employment projections for the United States over the next decade.
- Using those projections, we found the 20 jobs that are expected to have the biggest percent declines in employment between 2018 and 2028.
- Visit Business Insider’s homepage for more stories.
Postal workers, locomotive firers, and typists are all occupations that may be on their way out.
Every two years, the Bureau of Labor Statistics releases employment projections for the United States. These estimate how many people are likely to be employed in various jobs over the next decade.
The most recently released projections cover how employment is expected to change between 2018 and 2028. Using the BLS projections, we found the 20 jobs that are expected to have the largest percent declines in the number of people employed over that decade.
Here are the 20 fastest-disappearing jobs in the US, along with their median annual pay as of May 2018 and descriptions of what the occupations entail from the Department of Labor’s O*NET occupational database:
20. Prepress technicians and workers: Employment is projected to fall from 29,900 in 2018 to 23,700 in 2028, a 20.8% drop.
Median annual salary in 2018: $40,410
What they do, according to O*NET: Format text and images submitted by clients into pages that can be printed.
19. Legal secretaries: Employment is projected to fall from 180,100 in 2018 to 142,500 in 2028, a 20.9% drop.
Median annual salary in 2018: $46,360
What they do, according to O*NET: Perform secretarial duties for legal services.
18. Textile, garment, and related material pressers: Employment is projected to fall from 39,900 in 2018 to 31,400 in 2028, a 21.2% drop.
Median annual salary in 2018: $23,350
What they do, according to O*NET: Press or shape clothing or other textile articles.
17. Photographic process workers and processing machine operators: Employment is projected to fall from 17,100 in 2018 to 13,400 in 2028, a 21.3% drop.
Median annual salary in 2018: $29,180
What they do, according to O*NET: Develop and process photographic images from film or digital media.
16. Coil winders, tapers, and finishers: Employment is projected to fall from 12,300 in 2018 to 9,700 in 2028, a 21.6% drop.
Median annual salary in 2018: $34,400
What they do, according to O*NET: Wind wire into coils used in electrical equipment.
15. Aircraft structure, surfaces, rigging, and systems assemblers: Employment is projected to fall from 45,100 in 2018 to 35,200 in 2028, a 22.0% drop.
Median annual salary in 2018: $53,340
What they do, according to O*NET: Assemble and install aircraft parts.
14. Data-entry keyers: Employment is projected to fall from 187,300 in 2018 to 143,900 in 2028, a 23.2% drop.
Median annual salary in 2018: $32,170
What they do, according to O*NET: Manually enter data into computer systems.
T-12. Switchboard operators: Employment is projected to fall from 73,400 in 2018 to 55,900 in 2028, a 23.8% drop.
Median annual salary in 2018: $29,420
What they do, according to O*NET: Operate telephone systems equipment and switchboards.
T-12. Postal-service mail sorters, processors, and processing-machine operators: Employment is projected to fall from 99,700 in 2018 to 76,000 in 2028, a 23.8% drop.
Median annual salary in 2018: $58,770
What they do, according to O*NET: Prepare and sort mail for distribution.
11. Computer operators: Employment is projected to fall from 36,800 in 2018 to 28,000 in 2028, a 24.1% drop.
Median annual salary in 2018: $45,840
What they do, according to O*NET: Monitor and control computers and other electronic data processing equipment.
10. Mine shuttle car operators: Employment is projected to fall from 1,700 in 2018 to 1,300 in 2028, a 25.3% drop.
Median annual salary in 2018: $56,340
What they do, according to O*NET: Operate shuttle cars for moving material in mines.
9. Postmasters and mail superintendents: Employment is projected to fall from 13,300 in 2018 to 9,600 in 2028, a 27.5% drop.
Median annual salary in 2018: $75,970
What they do, according to O*NET: Manage and administer post offices and postal employees.
T-7. Telephone operators: Employment is projected to fall from 5,700 in 2018 to 4,100 in 2028, a 28.4% drop.
Median annual salary in 2018: $37,240
What they do, according to O*NET: Provide directory information and assistance to telephone customers.
T-7. Hand cutters and trimmers: Employment is projected to fall from 10,700 in 2018 to 7,700 in 2028, a 28.4% drop.
Median annual salary in 2018: $29,390
What they do, according to O*NET: Use hand tools to cut materials like carpet, fabric, glass, or stone.
6. Motor vehicle electronics installers and repairers: Employment is projected to fall from 11,000 in 2018 to 7,900 in 2028, a 28.6% drop.
Median annual salary in 2018: $35,590
What they do, according to O*NET: Install or repair audio, security, navigation, or other electronic equipment in vehicles.
5. Watch repairers: Employment is projected to fall from 3,000 in 2018 to 2,100 in 2028, a 29.6% drop.
Median annual salary in 2018: $39,910
What they do, according to O*NET: Repair and manufacture watches and other timekeeping mechanisms.
4. Word processors and typists: Employment is projected to fall from 60,400 in 2018 to 40,000 in 2028, a 33.8% drop.
Median annual salary in 2018: $39,750
What they do, according to O*NET: Use a computer or word processor to type letters and other texts.
3. Parking enforcement workers: Employment is projected to fall from 8,600 in 2018 to 5,400 in 2028, a 36.7% drop.
Median annual salary in 2018: $39,840
What they do, according to O*NET: Patrol parking lots or streets to issue tickets to parking violators.
2. Respiratory therapy technicians: Employment is projected to fall from 9,300 in 2018 to 3,900 in 2028, a 57.5% drop.
Median annual salary in 2018: $51,210
What they do, according to O*NET: Provide respiratory care under the direction of therapists or doctors.
1. Locomotive firers: Employment is projected to fall from 500 in 2018 to 200 in 2028, a 68.3% drop.
Median annual salary in 2018: $63,820
What they do, according to O*NET: Operate train locomotives.


--- layout: resume ---
| Phone: | +82-10-3368-6061 | Github: | github.com/seongwoopark |
| E-mail: |<EMAIL_ADDRESS>| Linkedin: | linkedin.com/in/seongwoo-park |
2009.03 - 2016.02
Seoul, South Korea
Bachelor of Science in Engineering at Computer Science
GPA
2009.12 - 2011.10
Chuncheon, South Korea
Military Service
TMR(Tactical Multichannel Radio) Signaller / Sergeant
2015.10 - 2017.12
Seongnam, South Korea
San Jose, CA
A company that provides cultural content in the various fields of the global music industry
Junior Software Engineer
Software Engineer / Internship
2014.03 - 2016.02
Seoul, South Korea
A laboratory doing active researches across various aspects of automotive systems in Kookmin Univ.
Undergraduate Researcher / Assistant


{% extends "layout.html" %} {% block styles %} {% endblock %} {% block body %} {% if not user.public %}
You can change it to public on your profile page.
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Blog
‘Like learning to read an alethiometer’: Rethinking the construction of the witnesses’ narratives
http://www.philip-pullman.com/pages/content/index.asp?PageID=51
Earlier this month, I met with Faith Lawrence and Osman Hankir of the Digital Humanities Department at King’s College London. The aim of the meeting was to acquaint me with the necessary understanding, framework and tools to begin to apply an ontological framework to the William Cragh text. This will ultimately form the basic structure for the usability and ‘searchability’ of the project website, the very basis (as I currently understand it) for the users’ experience.
Well, I thought that I had done my preparation well. I had taken two of the nine witness statements as samples and broken them down into the very smallest narrative elements from which they are composed. I had then organised into three tiers of ‘granularity’:
- key events which I see becoming the main features of the timeline through which users will be able to explore the text;
- events and descriptions which are shared by the majority, if not all of the nine witnesses;
- finally those detailed observations or recollections which are more or less unique to the witness in question.
How wrong I was! It would appear that quite a different analytical approach is actually required when it comes to constructing a narrative ontology, challenging me to rethink and reclassify everything I thought I knew and understood about how the story of William Cragh’s miracle is narrated.
It all begins with a construction like this:
Courtesy of Faith Lawrence at Ontomedia: http://www.contextus.net/ontomedia
Each and every event which occurs in the text needs to be classified in accordance with one of the above categories. Therefore, William being led to the gallows becomes an event-type ‘travel’; his hanging, event-type ‘violence’, sub-category ‘capital punishment’, sub-sub-category, ‘hanging’; the news of his death, event-type ‘transformation’ (as in the transfer of knowledge from individual to individual); the prayers said both in the castle and in the burgesses house become two instances of event–type, ‘social’ (the prayers being a communal entreaty), and so on and so forth.
By the end of our meeting, the new logic-construct and organisational principles were beginning to make sense. However, it still feels a little like learning to read one of Philip Pullman’s Alethiometers, with all the different potential levels of meaning hidden behind the first carved image denoting the top most obvious meaning of the categorisation. The difficulty is twofold: firstly, I have to definitively categorise narrative elements which I would normally only discuss and talk around, suggesting links and similarities. Secondly, I must to slot the specifics of my text into a general structure which could work for all texts. The results however, should be extremely interesting. In marking up the text in such defined terms, the resulting ontology created by the computer will no doubt be very different to the way in which I have interpreted and presented the text.
I am sure, like Lyra, as I practice, it will become second nature (at least that’s what I’m hoping). For now, I need to start dividing up the events in each witness statement, classifying its type, noting the subject and object of the incident, together with its location and all involved parties. From this, Eleonora, Osman and Faith will then begin to work the magic, by drawing out the information, the links, the resonances, and creating something that will allow the text to be explored in a whole new way.
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Utilizing data to better understand trends in Los Angles bike sharing
This website was created for the 2019 January Capital One Software Engineering Summit programming challenge.


This example demonstrates how to add calculated columns to a page. Such columns do not exist in the data source the page is based on and their values are automatically computed using other column values or another deterministic expression.
The server-side OnCalculateFields and the client-side OnCalculateControlValues events allow you to provide PHP and JavaScript code respectively for calculating values of these columns.
This page contains two calculated columns: Full Name and Age. Click the button to learn how the values of these columns are computed.


--- permalink: / ---
Hello! My name is Paul, and I am a web designer and developer from Pittsburgh, Pennsylvania. “What does that mean?” you may be asking yourself. In short, I create apps and websites.
I'm across the web on Twitter, Instagram, GitHub, and probably elsewhere as {{ site.username }}.
For those interested, here is my résumé as HTML or as PDF.
You can contact me via email at {{ site.email }}, or message me on Twitter or Facebook.


I've been the solution architect, development lead or a developer for a large number of products released in large scale production environments. I've had the pleasure to create products and services for a variety of companies including Blueprint Consulting Services, Microsoft, Lockheed Martin and USA Today/Gannett.
My passion lies in the use of machine learning in a distributed computing environment, where I utilize Apache Spark, Hadoop, Python and Scala in data mining, data analysis and predictive analytics. My experience includes working with complex events processing applications within a lambda architecure in the use of supply chain management and finance reconciliation, social media sentiment analysis and IoT predictive analytics.
As a full-stack developer, I've work heavily with the MEAN stack (MongoDB, Express, Angular, Node.js) as well as Python, Django, Flask and MySQL. I've worked as a Microsoft .NET developer, specifically with C#, ASP.NET and SQL Server. I am an advocate for microservice architecture vs monolithic systems. I love pragmatic REST API design that indulges developers rather than dogma-driven API design that favors strict architecture adherance.
A few of the apps and services I have built...
{{post.overview}}
I love to explore ideas through funtional prototyping. I experiment with various development languages & frameworks, machine learning and 3rd party api's.
{{prototype.overview}}


Thomas R. Storey, 2015
towering is a bot that performs the solution to the canonical computer science puzzle known as the Tower of Hanoi.
The puzzle was either invented or introduced to the western world in 1883 by French mathematician Édouard Lucas. It involves three posts, and a set of discs of various sizes. Each disc has a hole in the center, and so can be slid over each post. The objective of the puzzle is to move a stack of discs, in decreasing order of size from bottom to top, from the leftmost to the rightmost post, without violating two rules. First, no disc can be stacked on top of a smaller disc. Second, only one disc may be moved at a time.
A classical recursive solution to the problem is can be expressed like this:
To move the tower, consider the bottom disc. To move it to the third post, first move all the discs on top of it to the second post. Then move the bottom disc to the third post. Then move the tower from the second post to the third post.
Interestingly, a graph of all the possible moves of the Tower of Hanoi can be represented by a Sierpiński triangle, which is itself a recursive structure. Following the previously mentioned solution will trace the shortest paths between each of the corners of the triangle, creating a circumscribing loop around the whole possibility space of the puzzle.According to legend, somewhere there is a monastery where a group of monks are in the process of solving a 64-disc version of the puzzle, with the belief that when the puzzle is finished, time will end. They pass on this task to each successive generation of monks. Because the smallest number of moves in which the puzzle can be solved is 2ⁿ - 1, where n is the number of discs in the tower, at a rate of one move per second, it will take them roughly 585 billion years to finish.
In towering, the current state of the puzzle is represented by a string of characters. Each character corresponds to a disc. The first character, moving from left to right, represents the smallest disc, and the rightmost character stands for the largest disc. If the character is a vowel, it is on the first post. If it is a consonant, it's on the second post. If it is a space, it is on the third post.
The bot performs at a rate of one move per minute. This makes it very unlikely that it will ever finish. Each line, representing a state of the puzzle, becomes a stanza in a vast, epic poem or song written in an inhuman language. It prompts the reader to become aware of the sublimity of time and its passing.
When(?) the poem is complete, the last line will be silence.


As part of ffconf, I'm running two masterclass workshops as part of my conference in November that I wanted to let you know about.
Angular 5 is right around the corner. If your team has ever used Angular, you'll know that you need to stay on top of all the updates to offer the most competitive products.
Gerard Sans is a veteran Angular developer and trainer with years of experience, and he's done all the hard to work to understand what's coming next. His workshop includes: what's new, advanced routing techniques, graphql, modern state management (using ngrx), next level RXJS motion principles and more.
The promise of Universal React? The same code running in the browser and the client? Next.js makes it easy to write JavaScript that you only have to write once, and it runs both in the browser and on the server. This offers huge benefits like SEO, improved performance to the visitor, and reduced code.
Using Next.js, universal React requires very little overhead to create. The workshop includes: instant server side rendered apps, connecting to databases, advanced routing, testing with jest (and gotchas) and deploying strategies.
The workshops are full day masterclass run on 8th November 2017 in Brighton UK (about an hour from London by train).
Limited tickets cost is £449+VAT (which also include a pass to the FFCONF event on 9th November worth £179 - making the workshop effectively £270!) - and if you want to send multiple developers, get in touch at<EMAIL_ADDRESS>and we can arrange a block booking price.
Finally, if you think this would be useful to anyone else, please share this link with them: https://ffconf.org/static/workshop-briefs


Acknowledgements
FreeImage
CmdTwain uses the FreeImage library to convert scanned documents to specific file formats. The FreeImage component is licensed under the terms of the FreeImage license. Source code for FreeImage is available from the developer as stated in that license.
© 2007-2013 GssEziSoft.com. All Rights Reserved.


http://www.speakers-podium.com/susangranger.
 In this latest of the "Sesame Street" movie spin-offs, stemming from the genius of the late Jim Henson, lovable Elmo, the shy, little, red-tufted yarn puppet with an orange nose and eggshell eyes, loses his beloved blue blanket, named Blanket. The story starts as Elmo gets very, very upset when his best friend Zoe wants to hold Blanket. In fact, a tug-of-war breaks out and neither of them sees Telly coming at them on his new roller blades. An accident occurs and Blanket winds up in Oscar's mysterious trash can - which, in turn, leads him Grouchland, a stinky, yucky place where everyone's irritable and smiling is forbidden. And there's a cranky villain in Grouchland.. That's greedy Huxley, played by Mandy Patinkin.  Moppets will not only love watching but they're invited to yell, sing and clap along, and that's about as interactive as cinema can be these days. And the best part - insofar as parents are concerned - is that whenever the going gets tough - like Blanket might rip - Bert and Ernie interrupt the story to reassure viewers that they shouldn't worry and things will turn out all right. With the Muppeteers, there's light-hearted humor and good-natured fun which makes for lots of laughs - and Vanessa Williams makes a great Queen of Trash. On the Granger Movie Gauge of 1 to 10, "Elmo in Grouchland" is a warm, fuzzy 8, teaching pre-schoolers a gentle lesson about sharing.
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