Adam Feldmann
Summary
ASSISTANT PROFESSOR, AI RESEARCHER
Highly skilled AI educator and developer, renowned
for pioneering advancements in large language
model technologies, including the development and
practical application of models like ChatGPT. My
expertise lies in translating cutting-edge AI research
into tangible applications and educational content,
with a particular focus on natural language
processing (NLP). Committed to advancing AI
integration and usability in real-world settings, I
seek opportunities to leverage my unique blend of
technical innovation, educational excellence, and
practical development experience.
Overview
19
19
years of professional experience
Work History
GROUP
AI RESEARCH
09.2023 - Current
ASSISTANT PROFESSOR
Óbuda University
04.2022 - Current
- John von Neumann
- Faculty, Biomatics and Applied Arti cal
- Intelligence
- Budapest & Remote
- Undergraduate Courses: Lead practical sessions on
- Generative Arti cial Intelligence for Bachelor of Science students, focusing on hands-on experience with the latest techniques and tools in the eld
- These sessions aim to ground students in the foundational principles and applications of generative AI, preparing them for advanced study or careers in AI-related disciplines
- Graduate Courses: Teach a comprehensive course on
- Generative AI to Master of Science students at the university
- The curriculum is designed to provide an in- depth understanding of generative large language models, including but not limited to GPT model family, llama2
- Mistral AI models , and other transformer-based models
- The course covers theoretical foundations, practical implementation, ethical considerations, and current research trends in generative AI, equipping students with the knowledge and skills to contribute to the eld's advancement.
GROUP LEADER
APPLIED DATA SCIENCE
11.2019 - 07.2023
- ARTIFICAL INTELIGENCE GROUP
- University of Pécs
- Pécs, Spearheaded a diverse array of projects focused on processing medical data, leveraging advanced data science and AI methodologies to drive innovations in healthcare analytics and diagnostics
- Collaborated with Microsoft Hungary on training a
- Hungarian language BERT Large model (Microsoft Azure), demonstrating the potential of NLP technologies to comprehend and process the Hungarian language with unprecedented depth and sophistication
- Presented the outcomes of these cutting-edge projects, including the
- Hungarian language BERT model, at prestigious forums such as Microsoft Ignite, showcasing our contributions to the global AI community
- Pioneered the development of a computer vision-based system for drug recognition in 2021, introducing a novel application of AI technologies to enhance the accuracy and e ciency of pharmaceutical identi cations
- (see the video on my Linkedin posts)
- Led the creation of a 7 billion parameters GPT model in uent in both Hungarian and English based on GPT-
- NeoX architecture
- This initiative marked the inception of the rst Hungarian language GPT model with such a vast parameter count, from scratch using NVIDIA DGX-A100 system
- (see the video on my Linkedin posts)
ASSISTANT PROFESSOR
University of Pécs, Medical School
05.2009 - 07.2023
- MRI Data Processing and Multivariate Statistics Course:
- Facilitated a comprehensive course for medical students at the university, covering MRI data processing techniques and multivariate statistical analysis
- The curriculum was structured to provide a balanced blend of theoretical knowledge and practical application, enabling students to e ectively interpret and analyze medical imaging data
- Hands-on Training: Participated actively in both the development and delivery of practical training sessions
- These sessions were designed to equip students with the necessary skills to apply advanced statistical methods and
- MRI data processing tools in clinical research and diagnostic settings
- Emphasis was placed on real-world applications, data analysis, and problem-solving strategies relevant to current medical challenges
- Theoretical Instruction: Led the theoretical component of the course, ensuring students gained a solid understanding of the principles underlying MRI technology, data processing algorithms, and the application of multivariate statistics in medical research
- This included detailed discussions on statistical models, hypothesis testing, and data visualization techniques speci c to medical imaging data.
SOFTWARE DEVELOPER
University od Pécs
01.2005 - 01.2008
- MRI software development for MR volumetric measurements and fMRI using MatLab.
Faculty
Óbuda University ,John von Neumann, Informatics
- Remote
- Led the Generative AI Research Group with a strategic focus on bridging the gap between cutting-edge AI technologies and enterprise implementation practices
- Our mission is to facilitate AI transformation across various sectors by making advanced technologies accessible and applicable in a business context.
Education
PHD -
University of Pécs, Medical School
01.2015
MSC -
University of Pécs, Institute of Psychology
01.2005
Skills
- Elementary
- Https://wwwlinkedincom/in/adam-feldmann/
- Python programming
- Research and development
- Data analysis
- Interdisciplinar collaboration
- Academic writing
- Interdisciplinary collaboration
- Large language models
- Langchain and llamaindex
- Backend development
Interests
+36303558014
, 1976
Hungarian
9 Calle Lia Tavio, Puerto de la Cruz,
Santa Cruz de Tenerife,Spain
Languages
Additional Information
- HONORS & AWARDS , Recipient of a prestigious state award for outstanding contributions to the advancement of arti cial intelligence in Hungary, highlighting my role in pioneering LLM development and application within the national AI landscape. adam.feldmann@aianddaresearch.hu
Timeline
GROUP
AI RESEARCH
09.2023 - Current
ASSISTANT PROFESSOR
Óbuda University
04.2022 - Current
GROUP LEADER
APPLIED DATA SCIENCE
11.2019 - 07.2023
ASSISTANT PROFESSOR
University of Pécs, Medical School
05.2009 - 07.2023
SOFTWARE DEVELOPER
University od Pécs
01.2005 - 01.2008
Faculty
Óbuda University ,John von Neumann, Informatics
PHD -
University of Pécs, Medical School
MSC -
University of Pécs, Institute of Psychology
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