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Arthur Kuyan

Arthur Kuyan

Project Manager in Contract Review, Compliance, Land Development and Civil Engineering

USA flag
Wall, Usa
$50.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

During my work with Handshake AI, I developed and refined training data focused on civil engineering task creation, emphasizing real-world applicability and technical accuracy. This involved designing structured prompts and scenarios that reflect common engineering workflows such as site planning, grading, utility coordination, and regulatory compliance. I translated complex engineering concepts into clear, machine-readable formats while ensuring alignment with industry standards, enabling AI systems to better understand and generate relevant outputs for land development and infrastructure projects. Through this experience, I gained a strong understanding of how to bridge the gap between engineering judgment and AI training requirements. I focused on creating nuanced datasets that captured both quantitative analysis and practical decision-making, helping models learn not just calculations but also context—such as zoning considerations, permitting constraints, and constructability. This work enhanced my ability to think systematically about problem formulation, data structuring, and the integration of domain expertise into AI-driven tools.

IntermediateRussianEnglish

Labeling Experience

AI trainer

TextPrompt Response Writing SFT
Project Horizon at Handshake AI focused on advancing the quality and depth of domain-specific AI training, particularly for technical fields like civil engineering and land development. The initiative centered on building high-fidelity training datasets that simulate real-world engineering tasks, enabling AI models to better interpret, reason through, and respond to complex project scenarios. This included developing structured prompts around site design, infrastructure coordination, zoning analysis, and construction documentation, all grounded in practical workflows used by engineers and developers.

Project Horizon at Handshake AI focused on advancing the quality and depth of domain-specific AI training, particularly for technical fields like civil engineering and land development. The initiative centered on building high-fidelity training datasets that simulate real-world engineering tasks, enabling AI models to better interpret, reason through, and respond to complex project scenarios. This included developing structured prompts around site design, infrastructure coordination, zoning analysis, and construction documentation, all grounded in practical workflows used by engineers and developers.

2025 - Present

Education

R

Rensselaer Polytechnic Institute

Bachelor of Science, Civil Engineering

Bachelor of Science
2010 - 2014

Work History

R

Russo Development

Project Manager

Wall
2023 - Present
S

Stonefield Engineering & Design

Primary Team Lead

Wall
2018 - 2023