Summary
Rameş Aliyev is an AI Research and Development Engineer based in Munich with 13 years of hands-on experience building scalable full‑stack systems and production ML/NLP solutions. He blends deep practical expertise in JavaScript/TypeScript, cloud-native architectures (Docker, Kubernetes, AWS/GCloud) and real‑time platforms with academic research on optimizing BERT and data augmentation from a TÜBİTAK‑funded project. A former founder and long‑time front‑end/architecture lead, he has repeatedly driven large refactors and frontend architectures for high‑traffic products while mentoring teams. Now at ATOSS Software SE and pursuing an MSc in Informatics at TUM, he uniquely straddles research and production engineering—comfortable prototyping novel NLP approaches and shipping resilient distributed systems. Not obvious from titles: he started in electronics and early web startups, giving him a pragmatic hardware‑aware perspective on software performance and real‑time client challenges.
13 years of coding experience
12 years of employment as a software developer
Associate of Science - AS, Computer Programming, 3.92/4.00, Associate of Science - AS, Computer Programming, 3.92/4.00 at Sakarya University
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technical University of Munich
Bachelor of Science - BS, Computer Science, 3.81/4.00, Bachelor of Science - BS, Computer Science, 3.81/4.00 at Yıldız Teknik Üniversitesi
High School Diploma, Electronics, High School Diploma, Electronics at Zeytinburnu Industrial Vocational High School
English, Turkish