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name: Abdelrahman El Antably | ||
image: images/members/gai-lab/abdelrahman.png | ||
role: scientist | ||
lab: gai-lab | ||
links: | ||
linkedin: abdelrahman-el-antably | ||
github: antably97 | ||
email: [email protected] | ||
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# Abdelrahman | ||
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Abdelrahman is a Data Scientist at Ericsson with more than four years of experience in data analysis/data management field. He is currently part of the MMEA AI and Analytics team, as well as the Cognitive Software R&D working with the Uplink Optimizer team. Concurrently, Abdelrahman is pursuing a Master's degree at Cairo University, specializing in AI applications in Telecom, after completing the pre-master's studies. The academic journey began at Ain Shams University where he obtained his Bachelor's degree in Computer Science and Bioinformatics. Abdelrahman worked previously at Udacity, where he had the privilege of educating students on data analysis courses and assisting them in applying data analysis concepts to solve real-world problems. |
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role: scientist | ||
lab: gai-lab, fai-lab | ||
links: | ||
linkedin: anubhab-samal-0a5075183 | ||
github: samalanubhab | ||
email: [email protected] | ||
orcid: 0009-0005-7528-8656 | ||
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The best one when it comes to the connection between Radio and AI. | ||
# Anubhab Samal | ||
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A consultant with over 12 years of experience, skilled in advancements in Generative AI (GenAI), incorporating state-of-the-art techniques in Natural Language Processing, Machine Learning, and Deep Learning. Specializing in leveraging Graph-ML based approaches for innovative machine learning solutions and implementing robust & scalable machine learning Design and Systems. | ||
Contributor to open-source. | ||
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Firsthand experience in fine-tuning foundation Large Language Models (LLMs) using bitsandbytes (4-bit quantization), PEFT (QLORA) and TRL library (SFT, PPO, DPO) as well as performing Q/A with RAG framework leveraging VectorDBs. | ||
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Hands-on experience in Sequence Classification, Named Entity Recognition, Text Summarization, Text Similarity, Topic Modelling, Anomaly Detection, Key-Phrase Extraction, Q/A Generation and Clustering. |
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name: Khalid M Kahloot | ||
image: images/members/gai-lab/khalid.jpeg | ||
role: scientist | ||
lab: gai-lab | ||
links: | ||
github: kkahloots | ||
google-scholar: https://scholar.google.com/citations?user=dLpcPHQAAAAJ&hl=en | ||
email: [email protected] | ||
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# Khalid M Kahloot | ||
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Khalid is a data scientist at Ericson. His strong traits are seniority level, academic record, and teamwork skills. For my seniority level, Khalid has worked for corporates with large-scale businesses my entire career, and he possess competency in software engineering, as well as, data science. | ||
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In terms of teamwork skills, for the last 20 years, Khalid has sat on either end of the classroom, i.e.- either learning as a student or teaching as a teacher assistant. Khalid has had tough courses in databases, algorithms, and machine learning and he had an amazing opportunity to supervise extraordinary BS.c and M.Sc. students in their projects and thesis work. In addition, He took part in research projects that lead to regarded publications. | ||
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In terms of teamwork skills, Khalid's experience in academia extended to mentoring and supervising multinational students. Khalid has supervised more than 100 students in their Bachelor thesis, Master, and PhD students while he was lucky to work at the Budapest University of Technologies and Economics. Moreover, Khalid has been enrolled in Scrum and Kanban teams since he was a junior developer. Khalid gradually elevated to become responsible for other colleagues in my teams, which assisted in onboarding and ramping them up to speed with the projects. In addition, as a senior, Khalid always finds shortcuts and works around to deal with technical debt. |
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role: scientist | ||
lab: gai-lab | ||
links: | ||
github: john-doe | ||
linkedin: ranafawzy | ||
github: rana-fawzy | ||
email: [email protected] | ||
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# Rana Fawzy | ||
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Senior Data Scientist with over five years of expertise in leveraging machine learning, deep learning and statistical | ||
modeling to address complex business challenges. Proficient in transforming data into strategic opportunities for | ||
actionable insights. |
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