
PhD in Computer Vision @MBZUAI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mohamed bin Zayed University of Artificial Intelligence
Data Scientist
June 25, 2026 – Present
LongShOT
December 18, 2025 – Present
A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos
View ProjectLLMVoX
March 6, 2025 – May 16, 2025
LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM
View ProjectBiMediX2
July 24, 2024 – October 23, 2025
Bio-Medical EXpert LMM with English and Arabic Language Capabilities
View ProjectgroundingLMM
November 2, 2023 – August 5, 2025
[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
View ProjectXrayGPT
May 18, 2023 – August 8, 2024
[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
View ProjectClimateGPT
May 18, 2023 – September 24, 2024
[EMNLP'23] ClimateGPT: a specialized LLM for conversations related to Climate Change and Sustainability topics in both English and Arabic languages.
View Projectmucot
February 16, 2022 – November 18, 2022
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages - Accepted at ACL 2022 Workshop
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic research and personal projects in AI/ML, particularly LLMs and multimodal systems. While this demonstrates strong technical drive and innovation, the lack of diverse project types (e.g., production systems, team-based enterprise solutions) makes it difficult to fully assess cultural fit for a typical industry Data Scientist role. The candidate's experience level is listed as 0, despite holding a 'Data Scientist' role at a university, which suggests a research-oriented rather than industry-focused background. This might indicate a preference for cutting-edge research over product development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project contributions and research output.