SoftServe Meetup: Machine Learning Design, Demystified


Feb 27, 2018


Austin, TX

WHAT: Join us at SoftServe Austin HQ for our latest meetup, “Machine Learning Design, Demystified” for free food, local craft beer, and discussion on machine learning architecture.

Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects and engineers. Inspired by attribute-driven design (ADD) and Smart Decisions (a software architecture design game for big data), the authors are happy to present a new version of the game focused on designing ML systems.

In this participatory session, you will learn about designing the architecture for ML systems via series of gamified interactive exercises. We will simulate state-of-the-art ML design systems by analyzing both business and technical requirements, selecting the best matching algorithms, and teaching how to validate early design decisions using rapid prototyping techniques.

Attendees are encouraged to think of an ML use case and bring it to the meetup for discussion.


Serge HazievVP Technology Services Group
Serge has more than 18 years' experience in designing, evaluating and modernizing large scale software architectures in various technology domains including BI, Big Data, Clouds, SOA and Carrier-grade telecommunication services for both Fortune 100 and startups.

Iurii MilovanovData Science Practice Leader
Iurii Milovanov is a Data Science Practice Leader with more than 8 years’ experience in enterprise-level solutions including Big Data, data mining, and information security. He specializes in scientific and algorithmic approaches to solving various business tasks using state-of-the-art AI techniques, such as deep learning, computer vision, natural language processing, and speech recognition.

WHEN: February, 27, 2018, 5:45 – 8 PM

WHERE: SoftServe HQ, 201 W 5th Street, Suite 1550 Austin, TX 78701


5:45 – 6:00 pm – Networking / Meet-and-greet with free local craft beer and tasty food
6:00 – 8:00 pm – Presentation, followed by Q&A and networking

About Meetups

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