Mohammaderfan Koupaei

Designed LSTM and seq2seq models for music generation, achieving high accuracy. • Explored text-to-music translation using GPT-based NLP models and transformer architectures. • Optimized reinforcement learning algorithms for decision-making tasks in simulated enviro

• Increased system usability by 40% through Personio-TimeTrack synchronization integration. • Led AngularJS to Angular migration, improving maintainability and scalability. • Optimized database schema, improving query efficiency and reducing data retrieval time by 30%. • Collaborated with cross-functional teams to deliver features aligned with business g

Increased system usability by 40% through Personio-TimeTrack synchronization integration. • Led AngularJS to Angular migration, improving maintainability and scalability. • Optimized database schema, improving query efficiency and reducing data retrieval time by 30%. • Collaborated with cross-functional teams to deliver features aligned with business go

GPA: 4.14/5 (Top 10%) • Thesis: Music Generation using Deep Learning Algorithms (Supervised by Prof. L´aszl´o Grad-Gyeng