I build AI systems that ship: across LLM orchestration, embodied AI, speech, and computer vision. Most engineers specialize in one layer. I work across all of them: designing multi-agent architectures, fine-tuning and merging large models, building real-time sensor fusion pipelines, and deploying everything from cloud inference to edge hardware. I've taken projects from a blank repo to a production-ready system, repeatedly, across concurrent roles. On the model side, I work with fine-tuning (LoRA, QLoRA, DPO, RLHF), model merging (SLERP, DARE-TIES), quantization (GGUF), and alignment, not just running existing pipelines, but designing them. One of my open-source medical LLMs outperforms models 8× its size on USMLE benchmarks. A Polish TTS suite I built crossed 6,000 downloads and filled a real production gap for a low-resource language. On the systems side, I architect agentic workflows with multi-agent arbitration, supervisor-agent safety layers, and task-adaptive retrieval. I've built sub-100ms sensor fusion pipelines handling real-time inputs from wearable hardware, and motor control abstraction layers that translate LLM reasoning into actuator commands for robotic systems. I'm also a researcher (multi-agent clinical AI, FET 2026), an active open-source contributor with datasets spanning medical reasoning and Turkish-language benchmarks, and a contributor to national and international AI research communities. What I bring to a team: the rare ability to move fast between research and engineering, own the full technical scope of an AI product, and deliver systems that actually work in production.
- 📫 How to reach me slhfurkaan@gmail.com
