2005-2011
I've started working at Biznet on June 13th, 2005 and worked till March 30th, 2011. On that huge 6 years I've done almost everything from cryptography to Web 2.0. I'm very grateful to my former employers for the freedom they've provided.
At Biznet, I foresaw the SignArt electronic signature product family; SignArt API, SignArt Client, SignArt Server. It included; Win32, Java, .NET, from API development to Web 2.0 applications. Today, with its innovative architecture, SignArt is the most advanced electronic/mobile signature system in Turkey.
Additionally, I supervised a team of four great developers, whom I would like to work together again sometime.
Also established the software development infrastructure; source control, issue tracking, continuous integration, etc., to score highest in the Joel Test.
Here is the approximate timeline for the curious;
2006: Started working on mobile signatures
2007: Created a novel product, Windows Cryptographic Service Provider (CSP) for mobile signatures
2008: ETSI Compliant electronic signatures with an innovative architecture
2009: ETSI advanced forms of electronic signature (CAdES-A)
2010: ETSI Serial/Parallel signing, PKCS#11 implementation of mobile signatures.
2011: Left for military obligation.
2012
I decided to work on my own, and took a couple freelance jobs. Worked on hobby projects including PragmaCMS and fmgVen. Participated in entrepreneurship competitions with my research project. Our team PragmaCraft was ICT category runner-up and Intel special award winner at the New Ideas New Businesses 2012 competition (YFYİ). Also participated in the 2012 Intel Global Challenge at UC Berkeley.
2013
PragmaCraft got the TÜBİTAK 1512 national entrepreneurship government grant.
As of April 12, 2013 PragmaCraft Software Ltd. is official! We continue building upon our Natural Intelligence research project, to make an Intelligent Search Assistant.
2014
Intelligent Search Assistant project first prototype released on the Chrome Store.
2015
Deep Learning year. We got obsessed with creating our own Natural Language Processing pipeline from scratch with Deep Learning, and made a huge progress. We also decided to expose our Semantic Role Labeling service as a REST API.
