Sahal Shaji

Data Scientist

https://talent.gravityer.com/sahal-shaji

PhD in Computer Vision @MBZUAI

Mohamed bin Zayed University of Artificial Intelligence

Key Strengths

Extensive experience in Large Language Models (LLMs) and Multimodal Models (LMMs) as demonstrated by numerous personal projects.
Strong background in natural language processing (NLP), computer vision, and speech processing.
Proficiency in Python, Cuda, C++, and Shell scripting, indicating strong technical implementation skills.
Active participation in research, evidenced by publications at top-tier conferences (CVPR, ACL, EMNLP).

Cultural & Operational Fit

Cultural 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.

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Projects

MediX-R1

February 18, 2026 – Present

Open Ended Medical Reinforcement Learning

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LongShOT

December 18, 2025 – Present

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

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LLMVoX

March 6, 2025 – May 16, 2025

LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM

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BiMediX2

July 24, 2024 – October 23, 2025

Bio-Medical EXpert LMM with English and Arabic Language Capabilities

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BiMediX

February 19, 2024 – November 23, 2024

Bilingual Medical Mixture of Experts LLM

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groundingLMM

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.

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XrayGPT

May 18, 2023 – August 8, 2024

[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

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ClimateGPT

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.

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SS-OWFormer

March 23, 2023 – February 28, 2024

SS-OWFormer — GitHub repository

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mucot

February 16, 2022 – November 18, 2022

MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages - Accepted at ACL 2022 Workshop

View Project

Key Strengths

Extensive experience in Large Language Models (LLMs) and Multimodal Models (LMMs) as demonstrated by numerous personal projects.
Strong background in natural language processing (NLP), computer vision, and speech processing.
Proficiency in Python, Cuda, C++, and Shell scripting, indicating strong technical implementation skills.
Active participation in research, evidenced by publications at top-tier conferences (CVPR, ACL, EMNLP).

Cultural & Operational Fit

Cultural Fit Analysis

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.

Sahal Shaji

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit