Arseni Gladkov
My background
is social sciences and tech — and I'm endlessly interested in how they
interact. The paper-based paradigms of yesteryear are now fading. Yet, with
growing digitalisation of our knowledge, how we interact with information —
and how information interacts with us — is by no means a settled matter. In
fact, since the time of my graduation, it seems that the debate has only
grown. My interests
lie in streamlining how we analyse and organise complex information via
better UX and AI. We're hence building Jotup,
a platform for handling and streamlining complex knowledge. Also I’m
around on Linkedin
and Angellist. By all means
feel free to drop me a line: |
Education
2013-2015 |
London School
of Economics and Political Science MSc (with Distinction) Management,
Information Systems and Innovation A rigorous,
qualitative, inter-disciplinary study integrating established knowledge of
the development and management of information systems with the critical study
of emerging domains of technological innovation. |
London, UK |
2009-2013 |
Loughborough
University 2:1 BSc (Hons)
International Business Quantitative & qualitative course focused on the
links between major business functions and their role in the international
business context. |
Loughborough,
UK |
Tech
Most tools / technologies below
either make up Jotup (and hence represent things I
work with every day) or are otherwise somehow familiar enough for me to claim
proficiency: |
|
Languages |
PHP, Python, Java, JavaScript,
Bash, HTML, XML (including specialist and custom implementations), NewsML, NITF, RSS, ATOM, CSS, LESS, Basic (VBA, Visual
& various vintage flavours), SQL |
Backend |
LAMP, MySQL, Postgresql,
SSH, sockets, cron, text and file encodings; all
matters API, security, email and hardware |
Systems / Platforms |
OSs: Linux (especially Ubuntu / Debian), FreeBSD, Mac OS, Windows |
Design / IDE |
UML, vim |
Content & Knowledge Management |
Drupal, Wordpress, Moodle |
Natural Language Processing |
Spacy, NLTK, Solr, NER, Named entity normalisation (including our
custom-built content tagger with resolution of 40m+ different subjects),
emergent document text extraction and text summarisation technologies,
diverse information ecosystems and their interlinking via APIs and other
means |