Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 7+ years in Computer Vision & LLMs
Highly analytical professional with a B.S. in Computer Science and a minor in Statistics, offering over 7 years of experience in the intersection of software development and artificial intelligence. Expert in the high-precision curation of datasets for Computer Vision and Large Language Models (LLMs), with a deep understanding of the full machine learning lifecycle. Proven ability to bridge the gap between raw data and production-ready models by applying a technical mindset to RLHF (Reinforcement Learning from Human Feedback), prompt engineering, and complex video/image annotation. A detail-oriented problem solver with a background in full-stack software engineering and quality assurance, excelling at identifying edge cases, optimizing data workflows, and ensuring 99% + accuracy in high-stakes technical environments.
Full Sail University
Bachelors of Science · Computer Science
August 1, 2023 – Present
Full Sail University
Minor · Statistics (for Data Science)
August 1, 2023 – Present
Project Watt
March 1, 2026 – Present
Engineered a comprehensive framework for systematically assessing model-generated responses, utilizing structured evaluation criteria to assign preference rankings and enhance quality assurance processes.
Project Ohm
March 1, 2026 – Present
Formulated rigorous evaluation frameworks to compare model-generated responses across various quality metrics, assigning preference rankings to ensure alignment with prompt intent and communication clarity.
Project Watt Writing
March 1, 2026 – April 1, 2026
Engineered a prompt-generation framework for Project Watt Writing, enabling dynamic creation of high-fidelity prompts across diverse subject areas and supporting advancements in automated content curation.
PROJECT HELIX
February 1, 2026 – Present
Devised advanced assessment frameworks to generate robust engineering challenges for PROJECT HELIX, systematically pushing system boundaries and identifying unsolved problem areas in machine learning performance.
Project Horizon
November 1, 2025 – Present
Orchestrated cross-disciplinary collaboration among industry experts to evaluate, enhance, and refine AI models, advancing the alignment of artificial intelligence with real-world professional standards and outcomes.
Programming Basics: HTML, CSS, Javascript, APIs
Code The Dream
January 1, 2026 – Present
Data Scientist
AI Academy
January 1, 2024 – Present
Full Stack Web Development
Bloom Institute of Technology
January 1, 2024 – Present
Frontend Web Development Fundamentals
Udacity / Nanodegree
January 1, 2024 – Present
Scored 94%, indicating a very strong understanding of Data Science and Artificial Intelligence principles, with only minor areas for improvement.
Strengths
Limitations
Cultural Fit Analysis
The candidate's diverse project experience across various AI-related roles (Data Annotator, AI Trainer, Computer Vision Freelancer) and certifications in Full Stack Development and Data Science demonstrate a broad skill set and adaptability. The focus on AI model evaluation, refinement, and quality assurance aligns well with the target AI Engineer role, suggesting a strong cultural fit for a role requiring meticulous attention to AI performance and ethical considerations. The remote work experience across multiple roles indicates self-discipline and ability to work independently.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in iterative feedback loops, cross-disciplinary collaboration, and participation in regular feedback loops, indicating strong teamwork and communication skills. Experience in quality assurance and identifying inconsistencies suggests a detail-oriented and problem-solving mindset. The psychometric test score of 320/500 suggests average logical reasoning and work attitude, with potential areas for growth in stress handling or team collaboration, though specific details are not provided.