Rashad Al Hasan Rony
Lead Generative AI Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolRashad Al Hasan Rony is a Lead Generative AI Scientist based in Berlin with a PhD in Conversational AI and over a decade of experience building and deploying LLM-driven dialogue systems for industry. He has led architecture and tech teams at Deutsche Telekom, BMW Group, and Fraunhofer IAIS, specializing in fine-tuning models, agent protocols, memory and learning for AI agents, and integrating LLMs into evaluation pipelines. Rashad blends research rigor—evidenced by publications and a public scholar profile—with hands-on HPC model training and production deployment experience. He also contributes to the AI community as a Cohere Labs researcher and maintains an active portfolio and GitHub reflecting practical toolbuilding and prompt engineering work. Notably, he combines deep academic roots with applied system design for telecom and automotive use cases, making him adept at translating research innovations into operational solutions.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MSc (Online - part-time) High Performance Computing (HPC), Master of Science - MSc (Online - part-time) High Performance Computing (HPC) at The University of EdinburghBachelor of Science (B.Sc.) Computer Science and Engineering, Bachelor of Science (B.Sc.) Computer Science and Engineering at BRAC UniversityDoctor of Philosophy - PhD Computer Science (Conversational Artificial Intelligence), Doctor of Philosophy - PhD Computer Science (Conversational Artificial Intelligence) at The University of Bonn
Bengali, English, German
Stackoverflow
71reputation
26kreached
1answer
1question
Github Skills (56)
encoder-decoder10
dialogue-systems10
relation10
sequence-to-sequence10
pytorch9
webrtc9
entity9
slack9
deep-learning9
chat9
collaboration9
entity-resolution8
python8
record-linkage8
gpu8
Programming languages (4)
Github contributions (5)
rashad101/SGPT-SPARQL-query-generation
Jul 2022 - Dec 2022
PyTorch code for the IEEE Access paper: SGPT: A Generative Approach for SPARQL Query Generation from Natural Language Questions
Contributions:6 commits, 8 pushes, 1 branch in 6 months
rashad101/ELiDi
Dec 2020 - Jul 2021
Contributions:72 commits, 62 pushes, 3 branches in 7 months
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