Samuel Hildebrand

Data Scientist

https://talent.gravityer.com/samuel-hildebrand

AI and Cybersecurity Researcher at Louisiana State University, Baton Rouge.

United States

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Final-Project', 'FATHOMS-RAG', and 'Mediocre-Language-Model-at-Best'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Exposure to various programming paradigms and languages (C++, Python, Dart, Ruby) indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-directed learning and exploration across various technical domains, including data science, quantum computing, and embedded systems. This indicates a proactive and curious mindset. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

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

ML-Final-Project

April 22, 2026 – Present

ML-Final-Project — GitHub repository

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Marcia-Thompson

January 17, 2026 – Present

Obituary Website for my gradmother, Marcia Thompson

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qc_simulator

December 6, 2025 – Present

A (Work in Progress) Quantum Circuit simulator written in C++

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FATHOMS-RAG

September 18, 2025 – Present

Dataset and Evaluation code for the FATHOMS-RAG paper

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Pinecil-v2-Python-Settings-Manager

May 10, 2025 – November 24, 2025

A small command-line utility to interact with Pine64 Pinecil v2 soldering irons via the pinecil Python library. Supports dumping and restoring device settings, inspecting current state, and pretty-printing saved configurations. Also supports in-terminal temperature graphing using the wonderful `asciichartpy` library.

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Mediocre-Language-Model-at-Best

April 12, 2025 – April 14, 2025

Mediocre-Language-Model-at-Best — GitHub repository

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MLP

February 24, 2025 – February 27, 2025

MLP — GitHub repository

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HPX-Fuzzing

November 27, 2023 – November 29, 2023

HPX-Fuzzing — GitHub repository

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SHA-256-Game

April 4, 2023 – April 4, 2023

SHA-256-Game — GitHub repository

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CSC4562-Project1

February 3, 2023 – March 10, 2023

CSC4562-Project1 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Final-Project', 'FATHOMS-RAG', and 'Mediocre-Language-Model-at-Best'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Exposure to various programming paradigms and languages (C++, Python, Dart, Ruby) indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

Samuel Hildebrand

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit