Md Rashad Al Hasan Rony   

Hi there, I'm Rashad 👋 🇧🇩 🇩🇪

  • 🧑‍💻 Employed at Deutsche Telekom as Senior Generative AI Scientist in Berlin, Germany 🇩🇪.
  • 💡 Working on Large Language Model (LLM) development/fine-tuning, Knowledge Graph based dialogue systems and their evaluation.
  • 🤝 Interested in question answering, conversational AI, LLM-related research/project.
  • ⚡ Fun fact: I love travelling, and collecting old coins & notes 💰.

📜 News and Updates

  • [12 May 2024]: 📜 Passed Certification: AWS Certified Cloud Practitioner 🎉 .
  • [01 February 2024]: 😎 Started a new position at Deutsche Telekom as Senior Generative AI Scientist.
  • [15 December 2023]: 🎉 Paper accepted at ECIR 2024 "Incorporating Query Recommendation for Improving In-car Conversational Search"
  • [10 October 2023]: 🎉 Paper accepted at EMNLP 2023 "CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering"
  • [28 April 2023]: 🏋️ Completed training on DevOps Engineering on AWS 💪.
  • [30 March 2023]: 🏋️ Completed training on Developing on AWS 💪.
  • [01 August 2022]: 😎 Started a new position at BMW Group as a AI Expert - NLP & Conversational AI.
  • [27 July 2022]: 😃 Attended and presented the Climate Change bot paper at IJCAI 2022.
  • [24 July 2022]: 💯 Published the Climate Change MRC dataset in Huggingface 🤗.
  • [10 July 2022]: 🤩 Attended NAACL 2022 virtually.
  • [05 July 2022]: 🎉 Paper accepted at IEEE Access “Language Model Guided Knowledge Graph Embeddings”.
  • [03 July 2022]: 🎉 Paper accepted at IEEE Access “SGPT: A Generative Approach for SPARQL Query Generation from Natural Language Questions”.
  • [28 April 2022]: 🎉 Paper accepted at IEEE Access “Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs”.
  • [24 April 2022]: 🎉 Paper accepted at IJCAI-ECAI (system demo - AI for Good), “Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering”.
  • [07 April 2022]: 🎉 Paper accepted at Findings of NAACL 2022 “DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation”.
  • [24 February 2022]: 🎉 Paper accepted at ACL 2022 “RoMe: A Robust Metric for Evaluating Natural Language Generation”.
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Resume

Education

2023
University of Bonn

Doctor of Philosophy

Computer Science

Title: Advancing Knowledge-Enhanced Conversational Systems Leveraging Language Models [PDF]

2018
University of Bonn

Master of Science

Computer Science

Focus: Intelligent systems

2007
BRAC University

Bachelor of Science

Computer Science and Engineering

Experience

Feb 2024 - Current
Deutsche Telekom
Berlin, Germany

Senior Generative AI Scientist - LLM

Department: AI and Data Science (AI Competency Center)

  • Incorporating LLM as an evaluator for chatbot evaluation
  • LLM training and fine-tuning.
Aug 2022 - Jan 2024
BMW Group
Munich, Germany

Senior Generative AI Specialist

Department: AI-based Vehicle Functions and Network AI

  • Architecture design, code integration and deployment of GPT-based dialogue system (50% time).
  • Technical project management (50% time).
  • Conducting state-of-the-art research for industry use cases.
  • Helping stakeholders with LLM-based technical solutions.
Aug 2020 - Jul 2022
Fraunhofer IAIS
Dresden, Germany

Machine Learning Scientist

Department: Conversational AI and Knowledge Graph

  • Led the generative dialogue team and worked on the initial version of prompt-guided natural sounding and safe generative dialogue system.
  • Implemented a Machine Reading Comprehension pipeline on financial domain.
  • Implemented the initial version of the German MRC pipeline.
  • Implemented and extended the CDQA-based data annotation tool.
  • Published research paper into top scientific conferences.
May 2020 - Jul 2020
InfAI
Dresden, Germany

Visiting Research Scholar

  • Conducted research on knowledge grounded dialogue systems.
Aug 2018 - Apr 2020
Fraunhofer IAIS
Sankt Augustin, Germany

Student Research Assistant

Department: Enterprise Information Systems (EIS)

  • Trained the Tacotron model for speech from text generation.
  • Implemented the initial version of the MRC system.
  • Published research paper into top scientific conferences.

Technical Skills

Python

95%

PyTorch

90%

HuggingFace

90%

LangChain

90%

Git

90%

Docker

85%

Pandas

80%

Scikit-learn

80%

AWS

70%


Research Experties

Dialogue and Question Answering Systems

95%

Large Language Models

90%

Information Retrieval

90%

Prompt Engineering

90%


Communication

English

90%

Bengali (native)

100%

German

50%

Photography

SoundCloud Audio

Munich

Germany
Media Project 2

Amalfi Coast

Italy
Vimeo Video 1

Salzburg

Austria
Media Project 1

Barcelona

Spain
Mockup Design 1

Paris

France
YouTube Video 1

Madrid

Spain

Contact

Get in Touch

415-832-2000

San Francisco

rashad.research@gmail.com

Freelance Available

How Can I Help You?