Daniel Sleiman

Data Scientist

https://talent.gravityer.com/daniel-sleiman

AI/Cloud builder shipping reproducible systems: physics-informed ML, Appwrite control planes, and test-locked automation.

Open to AI/Cloud opportunities

Key Strengths

Demonstrated proficiency in Python for various data science and engineering projects.
Experience with AI/ML project development, including multimodal AI and physics-based simulations.
Familiarity with Jupyter Notebook for data exploration and analysis.
Exposure to Dockerfile for containerization, indicating some DevOps awareness.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal, research-oriented, and innovative AI/ML applications. This aligns with a culture that values independent problem-solving and technical exploration. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit beyond individual contribution.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

deltaE

June 12, 2026 – Present

deltaE — repository

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MercuryMining

June 1, 2026 – Present

MercuryMining — repository

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rogiiAndRolling

June 1, 2026 – Present

rogiiAndRolling — repository

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omi-windows-buddy

May 7, 2026 – Present

omi-windows-buddy — repository

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coldplate-topobridge

March 10, 2026 – Present

coldplate-topobridge — repository

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coldplate-design-engine

March 6, 2026 – Present

coldplate-design-engine — repository

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GlassBox_Agent

March 1, 2026 – Present

A multimodal, Human-in-the-Loop (HITL) AI troubleshooting assistant designed to solve Level 1 IT issues with complete transparency. Built for the Gemini Live Agent Challenge.

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Thermal-Sponge

December 2, 2025 – Present

Thermal-Sponge — repository

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inverse_design

December 2, 2025 – December 8, 2025

Inverse-design toolkit for generating and selecting high-performance microstructures under physics-based constraints.

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synthetic_tree_physics

November 29, 2025 – December 2, 2025

Modeling biomimetic xylem-inspired microstructures using AI latent space representations and physical simulation (Camber integration).

View Project

Key Strengths

Demonstrated proficiency in Python for various data science and engineering projects.
Experience with AI/ML project development, including multimodal AI and physics-based simulations.
Familiarity with Jupyter Notebook for data exploration and analysis.
Exposure to Dockerfile for containerization, indicating some DevOps awareness.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Daniel Sleiman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit