Summary
Kaloyan Nikolov is a software engineer and M.Sc. candidate at RWTH Aachen with 11 years of hands-on experience building production systems across Android, C/C++, and ML. His current research and engineering focus is on making large language model agents reliable and controllable in resource-constrained, local environments by adding typed planning, deterministic steering, approval-gated tool use, and measurable evaluation to execution pipelines. He has practical production experience from porting and maintaining ASR and training frameworks at AppTek.ai and a knack for getting ML systems to run efficiently on ARM hardware. Kaloyan combines systems-level thinking with a research mindset, aiming to move beyond raw model capability toward auditable, bounded-autonomy platforms. He is seeking roles in systems-level LLM engineering, agent infrastructure, or applied AI platforms where verification and operational constraints matter.
11 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at RWTH Aachen University
Computer Software Engineering, Computer Software Engineering at High School of Mathematics Dr. Petar Beron Varna
English, Bulgarian, Russian, German, Italian, Chinese