Ethosoft people
Feyzi Arda Salihoğlu
Strategy Lead, AI & Data Engineer
A strategy and engineering contributor helping turn Ethosoft research ideas into reproducible experiments, working systems, and clear public artifacts.
Profile
Connecting research intent to implementation.
Feyzi Arda Salihoğlu is a strategy lead and AI/data engineer at Ethosoft. He contributes to the technical planning, data workflows, evaluation design, and communication needed to move an idea from an early hypothesis into a form that teammates and external readers can inspect.
His work sits across language models, multimodal learning, computer vision, and applied AI. Within a young interdisciplinary team, he helps keep research questions, engineering constraints, and reproducibility requirements aligned.
Research contribution
Evidence-aware AI development.
- Contributor to Ethosoft language-model research including NEDOQwen, Foresight, and the team's Turkish NLP work.
- Contributor to preregistered and reproducibility-focused studies such as surprisal-based compute allocation and MYCELIUM.
- Collaborator on multimodal, medical-imaging, and data-engineering projects documented in the Works archive.
- Interested in the practical boundary between a model's reported score, its data pipeline, and its behavior under real deployment conditions.
Selected work
Building the connective tissue.
Research pipelines
Data preparation, experiment configuration, evaluation tables, and artifact organization for open AI research.
Multimodal systems
Contributions spanning image, text, and structured data workflows for applied and scientific projects.
Turkish NLP
Support for language-model datasets, tokenizer investigations, and Turkish-centric benchmark interpretation.
Strategy and delivery
Translating project goals into milestones, technical decisions, and public-facing records that communicate maturity honestly.
Ethosoft
Strategy lead and engineer.
At Ethosoft, Arda works alongside the research and infrastructure teams to coordinate technical execution, organize evidence, and support projects from prototype through publication, competition, or open release. His role combines strategic prioritization with hands-on AI and data engineering.
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