Now — What I'm Working On

01 · building

LLM & Agentic AI Engineer at Property Turkey

I build agent systems end to end — orchestrating language models, wiring tools, and composing memory into agents that actually get work done.

• Agent orchestration — routing, planning, and multi-step task decomposition.
• Tool use — giving agents real handles on the world, with verification.
• Memory — persistence and retrieval across turns and long-running goals.
• Human-in-the-loop feedback loops — the loop closes when a human can steer.

Direction: exploring vision-based agents that act in real environments — with a verifier that checks the work actually happened.

02 · the thesis

Betting on swarms

Single agents are the floor, not the ceiling. My working thesis is that the interesting frontier is many agents, coordinated — parallel exploration, resilience, and collective reasoning rather than one model's guess.

• Decomposition across agents with shared goals.
• Negotiation and consensus over independent results.
• Emergence — the whole reasoning beyond any single part.

03 · learning

LLM evaluation & observability

You can't ship an agent you can't measure. I'm going deep on how to evaluate agent behavior and watch it in production.

• LLM evaluation — task metrics, judges, and benchmark design for agents.
• Observability — tracing agent loops, tool calls, and memory state.
• Multi-agent coordination patterns — handoffs, hierarchies, and debate topologies.

04 · reading

Frontier papers on agent evals

The literature that's shaping how I think about verifying and improving agents.

• Agent evaluation — environment-grounded verifiers and benchmark design for tool use.
• Benchmarks and rubrics for agentic task completion and tool use.
• Work on multi-agent coordination and emergent behavior.

Reading now · evaluation harnesses for tool-calling agents, and the coordination literature.