Yusuf Erdem Erdem

Work Experience

Research roles across an academic lab and industry, from open-source Turkish models to on-device and domain-specialized systems.

Research experience

Oct 2025 - Present

Baykar Technology

LLM & VLM Researcher

Domain-specialized vision-language and language models for onboard and on-device deployment; agentic tool calling; evaluation of Turkish LLMs.

  • Integrated a domain-adapted VLM directly onto UAV's, enabling decision-making at the edge.
  • Shipped an on-device mobile LLM agent with tool calling company-wide, helping task management and internal workflows.
  • Architected a fully autonomous LLM news agency, automating the process from source collection and evaluation to scheduled publishing.
  • Conducted LLM/VLM training at scale, including large-scale dataset generation and preprocessing.
  • Conducted research and development on domain-specialized language models for aviation applications.
  • Developed agentic AI systems and AI-driven features to enhance applications across several team projects.
  • Contributed to a comprehensive evaluation framework for Turkish LLMs.
Methods & toolsms-swiftverlPEFTvLLMONNXEdge AILangChainLangGraph

Jul 2024 - Present

YTU COSMOS AI Research Lab

NLP Research Fellow

Open-source Turkish language, vision-language and embedding models; efficient inference; large-scale data curation; distributed training on HPC clusters.

  • Developed state-of-the-art open-source Turkish LLMs, VLMs and embedding models.
  • Curated and published large-scale open-source textual and multimodal datasets with multi-million examples.
  • Created ChainFlow, a novel flow matching speculative decoding method surpassing Eagle3 and DFlash in vLLM backend.
  • Research grants from the Barcelona Supercomputing Center (BSC), Türkiye's HPC Center and national funding.
  • Ran several distributed multi-node training, deployment and evaluation on Slurm-managed HPC clusters.
Methods & toolsSlurmDeepSpeedPyTorchTransformersDistributed multi-node trainingSpeculative decodingFlow matching

Jun 2025 - Aug 2025

Baykar Technology

Research Intern (NLP)

Domain adaptation and language acquisition in LLMs; advanced RAG.

  • Researched domain adaptation and language acquisition in LLMs.
  • Researched and evaluated advanced RAG variants (e.g. Self-RAG, Adaptive-RAG, RAPTOR and others) and built institutional RAG systems for internal AI-assisted workflows.

Engineering experience

Aug 2025 - Oct 2025

ASELSAN

Software Engineering Intern

Flight-simulation components and networking modules for defense applications.

  • Developed a flight simulation with TCP/UDP communication protocols and integrated it into existing ASELSAN software, enabling the simulation to run across the world.
  • Built data-communication simulations used by several teams, speeding up the tuning and debugging of communication protocol development.
Methods & toolsCC++TCP/UDP