offline camp

AI HOUSE Camp 2023

When

September 11th — 15th

Where

Lviv, UCU campus

Registration deadline

August 28th

Price

An open donation starting at 1000 UAH

Objective:

We’re willing to bring together AI\ML engineers, researchers and enthusiasts to create new Generative AI solutions, explore the enormous potential of the technology and implement ideas that will shape the future.

Who is it for?

  • ML engineers, product managers, data scientists, and other specialists who are engaged in or interested in AI
  • Anyone with a product idea in the field of Generative AI
  • Those who are already working on their own startup in this field and want to improve or refine it

To participate:

  • Register
  • Bring your laptop

What to expect?

  • You will implement ideas and solutions in Generative AI together with the team, using your imagination, creativity, and knowledge
  • Each team will consist of up to 5 people, working on and developing one specific idea
  • You can register with a team of colleagues and like-minded people, or meet your teammates at the camp
  • Mentors will help and guide each team
  • The teams with the best results will receive prizes from our partners. Roosh will consider the most successful ideas for further investment and scaling.

We’ll take care of:

< 3 meals a day, regular snacks and bites
< hotel accommodation
< support during all days of the camp
< surprises and activities that you’ll learn about on location

(**You’ll need to pay for your own traveling expenses to Lviv, if you aren’t there)

People who will help you during the camp:

Yaroslav Tereshchenko
Yaroslav Tereshchenko

Senior CV/ML Developer at Svitla Systems

  • PhD in Applied Mathematics. He teaches at the Taras Shevchenko National University of Kyiv, at the Faculty of Computer Sciences and Cybernetics. Has more than 10 years of CV/ML/DL experience.
  • Yaroslav worked at Samsung, Amazon and Svitla Systems on projects related to CV, NLP and embedded (OpenCL/ Optimization of Cuda, NPU, DSP).
  • Specializes in the following areas: CV/ML/DL, generative models, 3D scene representation, segmentation and reconstruction, AR and VR, SLAM, NN optimization, optimization methods, tensor decomposition, Bayesian paradigm and modeling of complex physical processes.
Yurii Yelisieiev
Yurii Yelisieiev

Machine Learning Research Engineer at ZibraAI

  • Yuriy works at ZibraAI, a startup that develops technology based on Generative AI that helps to create visual effects and generate 3D content.
  • Worked as a Computer Vision Research Engineer at DressX and as a Data Scientist at Eleks.
  • Yuriy teaches at UCU and gives lectures on practical Computer Vision and Machine Learning.
Markiian Novosad
Markiian Novosad

Machine Learning Research Engineer at ZibraAI

  • Together with ZibraAI, Markiian works on technology that creates 3D content and visual effects for computer games.
  • Markiian is one of the creators of the Sirens project.
  • Graduate of the computer science program at UCU. Markiian is a teacher of the Computer Vision course. Interested in visual arts and Generative AI.
Valdis Gerasymiak
Valdis Gerasymiak

Head of Deep Learning Team at Ajax Systems

  • Valdis works at Ajax Systems — a technological system for the protection of premises. Ex-founder of ROTHEM startup.
  • Specializes in Machine Learning, Computer Vision, Generative AI and neural networks in general.
  • Mentor of the platform “Mentors in the rear” and member of the jury at the Ukrainian Startup Fund.
Igor Babin
Igor Babin

Machine Learning Team Lead at ADVA Soft

  • For more than two years, Igor has been working with Computer Vision in the Ukrainian product for processing and improving photos with elements of Generative AI;
  • Student of the Master’s program in Data Science at UCU.
Ostap Viniavskyi
Ostap Viniavskyi

Computer Vision Engineer at DressX

  • Ostap works on the technology of dressing people in 3D clothes at the DressX startup,
  • Has experience in teaching and mentoring diploma theses at UCU,
  • He is interested in the combination of Generative AI with classical algorithms of Computer Vision and geometry.
Nazarii Drushchak
Nazarii Drushchak

Data Scientist at SoftServe

  • Data Scientist specializing in NLP at SoftServe. Implements Generative AI (LLM) in Edtech project and conducts research and experiments related to Generative AI (LLM) in the company;
  • Research Fellow at Center of Responsible AI at NYU and co-author of the article «The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice»;
  • Student of the Master’s program in Data Science at UCU;
  • Assistant course «Basics of programming» at UCU, where he conducts laboratory classes for undergraduate students.
Oleksandr Kosovan
Oleksandr Kosovan

Head of Data Science at ExpoPlatform

  • For more than 5 years, Oleksandr has been working with Data Science, 2 years of which were spent in postgraduate studies at Ivan Franko National University of Lviv, improving his academic experience.
  • The last year he was focused on the active study and use of Large Language Models in business.
Oleksandr Krakovetskyi
Oleksandr Krakovetskyi

CEO at DevRain, CTO at DonorUA

  • PhD., CEO at DevRain, CTO at DonorUA,
  • Software Architect with 18+ years of experience in IT, AI expert,
  • Аuthor of Intro to ChatGPT training course on Prometheus,
  • Conducted 50+ webinars, seminars, trainings during 2023 on Generative AI, ChatGPT, Midjourney, etc. 

People who will evaluate the final projects:

Oles Petriv
Oles Petriv

CTO and Co-founder at Reface

  • For the past decade, Oles has been actively researching and developing computer vision and natural language processing systems. Since 2018, he has been focused on ML/AI technology at Reface.
  • He boasts extensive experience in video processing, using deep learning methods for object and action detection, image depth map prediction, semantic segmentation, and generating subtitles for images and video studios in Hollywood. While working with VideoGorillas, he contributed to the 4x resolution increase in videos and the restoration of Orson Welles’s last movie for Netflix.
  • As the leader of the ML team at Reface, he pioneered and implemented face swap technology for photos, GIFs, and videos using a unique universal neural network. As of 2023, over 10 synthetic media technologies, including lipsync and face animation, have been developed. Leveraging proprietary technologies and open-source solutions, his team is currently dedicated to developing simple tools that enable anyone to create stunning content.
Anna Melnychuk
Anna Melnychuk

Investment Analyst at Roosh Ventures

  • Investment analyst at Roosh Ventures — a Ukraine-based early-stage VC focused on European and US markets with added values in AI/ML implementation, tech talent hiring, and fundraising. We have top-quartile results with over 40 deals in 3 years and multiple co-investments with Sequoia, Andreessen Horowitz, and Accel.
  • Anna has 2 years of experience in VC investments, covering all the processes, starting from support in startup sourcing, full due diligence coverage, and tailored support for portfolio companies. Reviewed 400+ pitch decks and led due diligence in 5 portfolio companies.
  • Focus on FinTech and HealthTech. Selected investments: Alma, Rollstack, Yours, Vitract.
Oleksandr Zarichkovyi
Oleksandr Zarichkovyi

Head of Research at SQUAD

  • 6 years of experience working with commercial tasks in the field of Сomputer Vision.
  • Responsible for the full lifecycle development of CV/ML solutions for modern smart home and IoT security systems.
  • Engages in coaching and helps team members in career and professional growth.
Vladyslav Zavadskyi
Vladyslav Zavadskyi

Co-founder & Head of R&D at ZibraAI

  • Co-founder and Head of R&D at Zibra AI — a Ukrainian deep-tech startup that makes 3D content development easier with the help of Generative AI.
  • Has over 5 years of deep learning experience, most of which is in the field of Generative AI.
  • Engages in compression and has 2 patents pending in ML-based field compression methods.
Oleksii Ignatenko
Oleksii Ignatenko

Professor at the Ukrainian Catholic University, APPS UCU

  • Oleksii Ignatenko is a researcher and professor with a strong background in computer sciences. Throughout his career, Oleksii has focused on areas such as mathematical modeling, game theory, machine learning, multi-agent systems, and algorithms. 
  • Oleksii contributes his knowledge in Algorithmic Game Theory, NLP, Complex systems models, and Machine learning. He also had extensive teaching experience at leading universities like the National Technical University Of Ukraine “Kyiv Polytechnic Institute,” Kyiv-Mohyla Academy, and Kyiv Academic University.
  • He is a member of the organizing committee for the Ukrainian Natural Language Processing (UNLP) Workshop. This workshop is committed to advancing the field of NLP and developing cutting-edge machine-learning methods specifically tailored to the Ukrainian language.
  • His work has been recognized with various awards, including the 2014 Prize of Verkhovna Rada of Ukraine for young scientists

Programme:

11th of September: Welcome day
14:00

hotel check-in

17:00

get to know each other at the pre-party

12th of September: Opening day
10:00

official opening and welcome breakfast

10:15

a few words from the mentors

11:00 - 14:00

start working on projects

14:00 - 15:00

lunch

15:00 - 19:00

continue working on projects

19:00 - 20:00

dinner

13th of September: Second day
09:30 - 10:00

breakfast

10:00 - 14:00

work on projects

14:00 - 15:00

lunch

15:00 - 19:00

continue creating projects

19:00 - 20:00

dinner

14th of September: Third day
09:30 - 10:00

breakfast

10:00 - 14:00

work on projects

14:00 - 15:00

lunch

15:00 - 19:00

prepare presentations

19:00 - 20:00

dinner

15th of September: Presentation day
09:30 - 10:00

breakfast

10:00

the start of the presentation and meeting with the jury

10:30 - 14:00

start pitching the project

14:00 - 15:00

lunch

15:00 - 16:00

awarding the winners

16:00 - 19:00

celebration party

Partners:

Main partner:

Partners:

How it went

The AI HOUSE CAMP 2023 was full of tech ideas and effective teams of ambitious specialists. The winner of this year’s camp was the Hearify startup team. Interesting fact: they met and got to know each other at our initiatives. We’re so proud to unite such amazing talent!

FAQs