Jernej Kavka

Information & Communications Technology

.net core Azure Cognitive Services Testing Entity Framework ai

Brisbane, Australia

Jernej Kavka

Senior Software Architect

With 10 years of experience in software engineering Jernej has worked on full-stack .NET development, mobile applications, and Microsoft Cognitive Services. He worked on some of Australia's largest corporates with great customer satisfaction.

Jernej Kavka

Senior Software Architect

Jernej ima več 10 let izkušenj s razvijanjem aplikacij za velika podjetja v Avstraliji kot tudi v Sloveniji.
Trenutna orodja za razvoj so .NET Core, Angular, EF Core in Microsoft Cognitive Services.

Current sessions

Making unit tests simple again with .Net Core and EF Core

Unit testing can be hard especially when databases are involved.
In this talk, JK will teach you how to include EF Core to simplify testing of “Will this actually work on a real DB” while keeping the tests self-contained and repeatable.

Also walk away knowing how cool the combination of EF Core in-memory and the SQLite DB provider is.


Real-time Face Recognition With Microsoft Cognitive Services

This session is all about Microsoft Face API in practice!
JK the man behind sswSophie.com will cover what it means to use Microsoft Cognitive Services in real-time, why offline detection libraries are essential and why you should use infrared and depth cameras like Kinect and Intel RealSense in your applications.


SSW TV - Real-time Face Recognition With Microsoft Cognitive Services

JK, the man behind www.sswSophie.com, will cover what it means to use Microsoft Cognitive Services in real-time, why offline detection libraries are essential and why you should use infrared and depth cameras like Kinect and Intel RealSense in your applications.

YouTube video: https://www.youtube.com/watch?v=KCSyRO0KotA

Delivered in January 2019 in Melbourne, Canberra, and Sydney.

Here is the demo project built with C#, OpenCV and Cognitive Services:

https://github.com/jernejk/RealTimeFa...

Here are some of the frameworks for offline face detection:

C# ↴
- UWP
https://msdn.microsoft.com/en-us/maga...
- OpenCV
https://github.com/shimat/opencvsharp

JavaScript ↴
- TensorFlow.js
https://js.tensorflow.org/
- BRFv4 https://github.com/Tastenkunst/brfv4_...

--- About the presenter ---

With around 10 years of experience in software engineering, Jernej has worked on full-stack .NET development, mobile applications, and Microsoft Cognitive Services. He worked for some of Australia's largest corporations, with great customer satisfaction.


Machine Learning simplified for Developers with ML.NET

Do you want to try machine learning, but don't want to invest too much time learning a new programming language or some other complicated API?

Microsoft recently launched ML.NET 1.4 which is a great entry point for .NET developers and to gain experience building something with Machine Learning.

With the recent release of ML.NET Model Builder, we can create machine learning models by attempting to import raw data first and over time curate the data, to get better results.

JK will show you how ML.NET works, how to leverage Model Builder, experiment with training data and what to watch out for when building models.


Past and future events

NDC Porto 2020

20 Apr 2020 - 23 Apr 2020
Porto, Portugal

Global AI Bootcamp - Brisbane 2019

13 Dec 2019
Brisbane, Australia

NDC Sydney 2019

13 Oct 2019 - 17 Oct 2019
Sydney, Australia

DDD Sydney 2019

20 Sep 2019
Sydney, Australia

DDD Melbourne 2019

9 Aug 2019
Melbourne, Australia

Brisbane Azure Global Bootcamp 2019

26 Apr 2019
Brisbane, Australia

Global AI Bootcamp - Brisbane

14 Dec 2018
Brisbane, Australia

DDD Sydney 2018

17 Aug 2018
Sydney, Australia