Raenen M.

Key Skills

Software

Labelbox

AWS SageMaker

Google Cloud Vertex AI

Internal/Proprietary Tooling

Top Subject Matter

AI/ML model training and autonomous AI systems

AI product development for educational tutoring and business automation

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Fine-tuning

Prompt + Response Writing (SFT)

Freelancer Overview

Software Developer/AI Engineer, XperiencOps (May 2024 – Present). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Arizona State University (2027). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Fine-tuning and Prompt + Response Writing (SFT).

Labeling Experience

Founder/CEO, Manhattan Labs (June 2025 – Present)

TextPrompt + Response Writing (SFT)

Founded and built AI products for students and small businesses, implying the creation of AI workflows and training/conditioning artifacts for application use. The resume does not explicitly state data labeling, but it describes developing AI tools and analytics systems based on domain data. The work is best categorized as AI training/prompting-oriented product development rather than manual annotation. • Built “Ask Apollo,” an AI tool intended to help students learn and study using AI. • Developed a business AI suite with pre-built systems to automate business processes. • Created internal data analytics systems using AI to analyze sports and financial markets. • Led a small team and managed product development from concept to production.

2025 - Present

Software Developer/AI Engineer, XperiencOps (May 2024 – Present)

Fine-tuning

Worked on developing and deploying AI/ML systems, including research and development on cutting-edge AI concepts. The role appears to involve training or improving autonomous AI models used by enterprise customers. Direct data labeling is not explicitly mentioned, but the work is AI training/engineering-oriented. • Developed applications and components using Python, JavaScript, and TypeScript for AI systems. • Conducted AI/ML R&D to improve model behavior for autonomous systems. • Built complex autonomous AI systems used by Fortune 500 companies. • Collaborated with a team to integrate and refine AI capabilities in production systems.

2024 - Present

Education

Work History