- How modern search is built and where LLMs fit in.- How semantic search architectures are designed and evaluated- Why BERT is still the baseline in many systems- Fine-tuning strategies, training data, and infrastructure trade-offs- What's possible in multimodal, and what usually isn't worth the effort- Choosing between PostgreSQL and vector databases- What often blocks companies from improving search, from training data to infra
🥐 Hosts - Anton Zhuravsky & Dmitry Volokh
☕️ Guest – Roman Grebennikov , who has been building search at Delivery Hero, and has also built his own search engine – Nixieserach.ai
The podcast is brought to you by On The Spot Development, a software development company which Anton founded. They build R&D teams for startups and tech companies.
How to build & maintain an engineering culture of experimentation and resilience?We sit down with Roman, CTO of Flo Health, and discuss how to build a high-performing tech culture, including:🚀 How to win the "best invention" award as a result of engineering response to a privacy challenge.
🛠️ The hiring playbook that brings in 10 engineers in a day (and actually works).
🔥 "Oh no" moments: Handling media storms and sudden relocations.
📊 The science of running 400 experiments per quarter (without setting everything on fire).
🤖 Future: $200kk in RnD, AI (obviously), wearables, and the fine-tuning of everything.Also there – how to hire top engineers, optimize infrastructure costs, and maintain a data-driven culture.
Hosts - Anton Zhuravsky & Dmitry Volokh, Guest - Roman Bugaev
Tune in! Episode release this Thursday, on 20.02 🔥
How to build a team that can win Time's "Best Invention Award" and develop an architecture to run 400 Experiments a Month.
Guest – Roman Bugaev, CTO at Flo Health – on leadership principles and architectural decisions.
🛠️ The hiring playbook that brings in 10 engineers in a day (and actually works).
🔥 Culture of resilience as a response to crises: handling media storms and sudden relocations.
📊 The science of running 400 experiments a month (without setting everything on fire).
🤖 Future: $200kk in RnD, AI (obviously), wearables, and the fine-tuning of everything.