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: arseni@jotup.co

 

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
Chatbots (thus far): Slack, Facebook, Telegram

Design / IDE

 

UML, vim

Content & Knowledge Management

Drupal, Wordpress, Moodle
also keenly interested in newer technologies, especially new ways to represent and structure knowledge / information

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