offline

AI Hardware Systems Meetup

When

December 16, 18:00

Format

Offline in Kyiv

Registration deadline

December 15

Fee

Donation from 500 UAH to the NGO "Reactive Post"

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About:

A technical meetup for engineers working at the intersection of artificial intelligence, embedded systems, and next-generation devices.


We’ll discuss how AI extends beyond pure software and begins operating within devices: from security sensors and edge computing to autonomous drones, robotics, and industrial AI solutions.


We will cover key technical challenges, practical cases, and architectures that enable building systems capable of running reliably even under limited resources.


The event serves as a platform for engineers working in Embedded AI, Edge ML, Computer Vision, and robotics to share their experiences.

Who is it for:

  • Middle-level engineers in Embedded Systems, Edge AI, Robotics
  • ML and CV engineers with 3+ years of experience
  • AI system architects working with hardware-aware models and device-level optimization

To participate:

  • Fill in the [registration form]
  • After our confirmation, donate from 500 UAH to the NGO "Reactive Post"

What you'll gain:

  • A deep understanding of the main challenges in building reliable Computer Vision systems in real-world conditions — weather changes, lighting shifts, occlusions, reflections, and concept drift.
  • Practical approaches to efficient video understanding: architecture patterns, optimizations for low-power devices, and principles of multi-sensor fusion.
  • Insight into what’s coming in next-gen Edge AI: hardware-aware models, aggressive compression methods, adaptive on-device learning, and other trends shaping the future of edge systems.
  • The ability to evaluate when it actually makes sense to move CV algorithms to the edge — and what trade-offs it requires (performance, energy consumption, accuracy, latency).
  • A practical roadmap for deploying CV solutions to the edge: from data to training, optimization, deployment, and model monitoring.

Speakers:

Yurii Pashchenko
Yurii Pashchenko

AI Tech Lead

Has 12+ years of experience in R&D in Deep Learning, Machine Learning, and Computer Vision. Led research initiatives, collaborated closely with business stakeholders, and managed project requirements and outcomes both in cloud and on-edge environments at companies such as SQUAD, DepositPhotos, and Ajax Systems.

Oleksii Rychyk
Oleksii Rychyk

Applied Scientist at SQUAD

Has more than 12 years of experience in research and engineering, including Computer Vision, Software Engineering, and Distributed Systems.

Moderator:

Roman Kyslyi
Roman Kyslyi

Data Scientist & Researcher at Visa, Head of NLP Lab at KSE

A researcher and engineer with 10+ years in NLP, LLMs, multimodal models, and AI system design. Holds a PhD, leads the NLP Lab at KSE, teaches at KPI, and works as a Data Scientist at Visa, where he implements AI solutions in complex enterprise environments.

Event organized by:

Kyiv School of Economics

AI HOUSE

Partner:

SQUAD

Program:

Registration
18:00 – 18:30

Talk by Yurii Pashchenko: “Beyond the Cloud: Charting the Course for Computer Vision on Edge Devices”
18:40 – 19:10
Yurii Pashchenko

Why running algorithms on the edge isn’t simple and what the full integration pipeline looks like.

Tech break
19:10 – 19:30

AI for Sound: Audio Classification in Safety and Bioacoustics
19:30 – 20:00
Oleksii Rychyk

What happens when Computer Vision enters real-world conditions: how systems handle weather, lighting, occlusions, and the rest of the “production chaos.”

Networking & bar
20:00 – 21:00

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