Andor Kiss is a Senior Data Scientist based in Budapest with six years of experience building and operationalizing ML and deep learning solutions across energy, manufacturing and defense domains. At Schneider Electric he leads technical delivery on invoice document processing and a multi-model chatbot, implementing RAG, OCR, LLMs and cross-cloud deployments (Azure, AWS Bedrock, Groq) while establishing robust LLM monitoring with MLflow and LangSmith. He has a track record in time-series anomaly detection, reinforcement-based optimization, and production ML workflows, and mentors junior teammates while participating in hiring. Trained as a computer engineer with an MSc in Computer Science, he blends hands-on model engineering with pragmatic MLOps and a knack for turning research-grade architectures into maintainable, cloud-native products.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Budapest University of Technology and Economics
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Eötvös Loránd University
This project is about music generation with deep learning.
Contributions:32 pushes in 7 months
deep-learningmusic-generation
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