2018 Bucharest
AI Edition
26 - 28 th October | TechHub Bucharest

AI Challenges
for the brave ones
From the financial sector to the automobile industry, AI has a wide range of applications. In today’s data-driven world, AI has the potential to transform the economic landscape of the world. The emergence of big data, graphics processing unit, and deep learning has led to many advances in AI.
- Demand forecasting | Dynamic pricing | Fraud detection | Cybersecurity
- Customer churn | Anomaly detection | Natural Language Processing
- Image processing | Recommendation | Conversion modeling
- Click-stream analysis | Market segmentation & targeting
- ... and many, many other applications ...

JSHacks Agenda
3 days of AI
Friday
18:30 - Registration
19:00 - Opening Talks & Goodies
19:45 - Ideas Presentation & Team Formation
Saturday
09:00 - Breakfast & Good Time
10:00 - 13:00 - Tensorflow Workshop by Oleksandr Zakharchuk (Google Developer Expert in ML)
13:00 - 14:00 - Lunch, Drinks & Surprises
14:00 - 17:00 - Mentorship
17:00 - Hacking Continues 'till Night
Sunday
09:00 - Breakfast & Good Time
10:00 - Hacking Continues
13:00 - Lunch & Drinks
16:00 - Demos & Ending Ceremony
Tensorflow Workshop
by Oleksandr Zakharchuk Saturday, 27 th October
Google Developer Expert in Machine Learning. Advising startups on applying deep learning for RecSys and NLP. Worked on models for personalized content recommendations, systems for exploring new content, as well as compact language models. Conducted 4 iterations of the internal course on machine learning with Tensorflow for 150+ people in total.
Jury
the experts

Dragos Manescu
Product Manager AI @Adobe

Oleksandr Zakharchuk
ML Google Developer Expert

Tatiana Petrache
Machine Intelligence Engineer @Avira

Razvan Popescu
Head of Intelligent Automation @EY Romania

Andrei Mititelu
Development Lead @Endava

Mentors
the wizards

Ionut Mironica
Ionut is a highly experienced IT professional with over 10 years of experience in various R&D domains. He has successfully
defended a PhD thesis in the area of multimedia information retrieval and machine learning in 2013. The thesis
was developed in cooperation with University of Trento Italy and he was rewarded with the "excellent" jury
appreciation. After the PhD, he continued his research with a postdoc grant, contributing to more than 40 scientific
publications.
During the last years, he worked as a machine learning consultant on various projects and domains, starting
from financial and payments industry to digital marketing and multimedia solutions. His main concern was to
bring the state-of-the-art AI advances to commercial products.

Oleksandr Zakharchuk
Google Developer Expert in Machine Learning.
Advising startups on applying deep learning for RecSys and NLP. Worked on models for personalized content recommendations, systems for exploring new content, as well as compact language models. Conducted 4 iterations of the internal course on machine learning with Tensorflow for 150+ people in total.

Christian Merkwirth
ML Engineer at Luxoft/NAUTO & Google Developer Expert in Machine Learning.

Krzysztof Suwada
Data Scientist at Brainly.co

Razvan Popescu
Head of Intelligent Automation, EY Romania
With over 10 years of experience in advising companies on their technological challenges and organizational performance,
Razvan is one of the early promoters of automation technologies in the Romanian market.
For the past 3 years, he has been developing and leading one of the most experienced automation teams in UiPath
technology, delivering on robotic process automation roll-outs for global clients, while exploring the benefits
of new technologies to enhance the value of automation. Razvan has a passion for innovation and is committed
to designing solutions that improve the way technology is leveraged in organizations.

Tatiana Petrache
Machine Intelligence Engineer, Avira
Tatiana Petrache is a Machine Intelligence Engineer at Avira developing solutions to augment the integrity and resilience of IoT ecosystems. She holds a Big Data Analytics certification at Harvard Extension, and acts as a SME in Data Science for several regional meet-up groups.
