About
The long version.
A Czech computer scientist working on AI safety research and shipping AI products.
I’m a Czech computer scientist working at the intersection of
AI safety research and applied AI — building production
systems while doing research on scheming and deception detection
in frontier language models. This page is the long version.
I started programming as a teenager and went through the eight-year
selective gymnasium track at Gymnázium Mladá Boleslav. I briefly
studied pharmaceuticals at VŠCHT before transferring to computer
science at the Faculty of Mathematics and Physics, Charles University
(MFF UK), where I’m finishing my Bachelor’s degree in 2026.
My early projects were systems-flavoured — a RISC-V operating
system kernel with a 3-person team, a custom Bitcoin transaction
backtester in C++, an Ant Colony Simulator in Unity exploring
emergent intelligence from local rules. The thread connecting them
is curiosity about what makes complex behaviour appear from simple
components.
That same thread is what pulled me into AI safety research —
specifically, scheming and deception detection in frontier language
models. Reasoning models like DeepSeek-R1 and Claude with extended
thinking generate visible chains of thought, which both opens up new
monitoring opportunities and creates new attack surfaces for
deception. Detecting when these models are strategically misaligned
is one of the central open problems in AI safety.
From September 2026 I’ll be doing my Master’s in
Artificial Intelligence at MFF UK, with research focus on:
-
In-context scheming and deception detection in open-weight
reasoning models — behavioral evaluation building on
Apollo Research and Anthropic alignment-faking methodology.
-
Cross-lingual scheming evaluation — whether deceptive
behaviors and chain-of-thought monitorability generalize across
languages. An underexplored area; US research is constrained by
language access.
-
Chain-of-thought faithfulness in reasoning models — when CoT
is genuine reasoning versus post-hoc rationalization, and how that
changes across model families and languages.
-
Practical alignment for production deployment — the context
I encounter every day building Zoplio.
Alongside the research, I’m co-founder and CTO at
Zoplio. We’re building the
AI scheduling primitive — a hosted API any application can
embed to delegate meeting negotiation. The technical core is an
agent runtime: a bilateral negotiation protocol between agents,
confidence-scored memory of how a person actually wants to be
scheduled, an LLM-driven conversation engine, and integrations
for Google Calendar, WhatsApp, and Stripe. We’re backed by
BUDETO Studio (€50k seed).
I also co-founded
Boletiqo
with Lukáš Hellesch — an AI company platform where
autonomous agent teams plan, ship, sell, and close. We reached
Red Bull Basement ’26 Czech Republic national top 10.
I’m winding it down in 2026 to focus on Zoplio and
scheming & deception detection research.
I view the founder side as a useful counterweight to academic
research: it forces me to take AI deployment realities seriously,
and it puts me in the room when models actually break.
Master’s in Artificial Intelligence (planned)
MFF UK · Sep 2026 — 2028
Continuing at the Faculty of Mathematics and Physics, Charles
University. Research interests: scheming and deception detection
in frontier language models, chain-of-thought analysis,
cross-lingual evaluation, alignment.
Bachelor of Science, Computer Science
MFF UK · 2023 — 2026
Bachelor’s thesis: Bitcoin Wallet for Advanced Users,
supervised by RNDr. Filip Zavoral, Ph.D. Defence 18 Jun 2026;
final state exam 21 Jun 2026.
Earlier
2018 — 2023
Brief detour at the University of Chemistry and Technology Prague (VŠCHT,
2022–2023, transferred). Eight-year selective gymnasium at
Gymnázium Mladá Boleslav (2018–2022).
- Red Bull Basement ’26 — Czech Republic
National Top 10
- BUDETO Studio — backed founder
(€50k seed for Zoplio)
- SCIO Mathematics — 98th percentile
- Podnikni to! — CTU Entrepreneurship
Program
Languages
- Python
- TypeScript
- Kotlin
- C++ (modern)
- C
- C#
- Bash
AI / ML
- PyTorch
- Transformers
- Reasoning models
- inspect-ai
- Anthropic MCP
- RAG
- Multi-agent orchestration
Frameworks & infra
- Node.js
- Next.js
- FastAPI
- Ktor
- Jetpack Compose
- Docker
- PostgreSQL
- Linux (Arch)
- Czech — native
- English — professional working proficiency