RETHINKING ENGINEERING TEAMS
Bringing together perspectives from software, applied AI and deep tech, this panel examines the changing anatomy of engineering teams: how ownership is distributed, how performance is defined, which expertise is worth developing in-house and how human and automated work are balanced in complex systems.
We’ll discuss:
✅ Engineering Team Design & Ownership
How AI affects team composition, responsibility and ownership of technical work. What to develop in-house, what to source externally, and how accountability is maintained.
✅ Engineering Productivity: Scaling Efficiently
How to scale engineering capacity, accelerate delivery and maximise business impact with lean, high-performing teams.
✅ Engineering Expertise & Technical Judgement
How expanding AI capabilities are redefining engineering expertise and the evaluation of complex technical solutions.
✅ Engineering Systems & Industry 5.0
How to balance automation with human expertise while keeping engineering systems reliable and resilient.
Speakers:
→ Sergei Irisov, Head of IT & Digital Transformation, ZeroAvia
Winner of the Next CIO 2026 award, with a background in rocket science, aerospace and deep tech. Built ZeroAvia’s global digital infrastructure from scratch, from enterprise architecture to applied AI. ZeroAvia develops hydrogen-electric engines for zero-emission aviation and is backed by Breakthrough Energy Ventures and Amazon.
→ Igor Kulatov, Co-founder & CTO, Aurora Borealis
Former CTO of NAGA Group, where he built the trading engine behind its Frankfurt Stock Exchange IPO. Previously at 2lemetry, whose technology was acquired by Amazon and incorporated into AWS IoT Core. Now building Aurora Borealis, an autonomous B2B commerce engine with 99.98% automation across the trade lifecycle.
→ Aliaksandr Kazhamiakin, Founder & CEO, Yotewo
Building Yotewo, a VC-backed AI staffing platform modernising how startups scale their engineering teams. Focuses on automated, data-driven networks that eliminate traditional recruitment friction, connecting global tech talent with high-growth businesses.
→ Katerina Kolomeytseva, ML Engineer, Bumble
Builds machine-learning systems for large-scale Trust & Safety and content moderation, specialising in NLP and production AI. International speaker and researcher with publications at ACL and EACL.
✅ Who should attend
Founders, CTOs, engineers, product and engineering leaders, tech recruiters, and anyone curious about where engineering teams are heading.
Agenda:
🤝 6.00 – 6.45 pm doors open, networking
🎤 6.45 – 7.30 pm moderated discussion
💬 7.30 – 7.45 pm Q&A
🤝 7.45 – 08.30 pm networking
🇬🇧 Language: English
Spaces are limited; early booking is advised.
Ticket includes a welcome drink.