Victor M.

Key Skills

Software

Don't disclose

Top Subject Matter

AI automation

software development

data analysis

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Freelance AI automation / software development (dataset preparation support). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Computer Science and Applied Mathematics, University of Sydney (2024) and Software Development Certificate, Modcom Institute of Technology (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

Freelance AI automation / software development (dataset preparation support)

Don't disclosePrompt + Response Writing (SFT)

Worked on AI automation and data-driven software development, which supports downstream dataset preparation and model training workflows. Focused on building practical pipelines that can generate structured training inputs through automation and data analysis. Applied LLM-assisted workflows and automation concepts to improve data quality and reliability for high-quality outputs. • Automated data processing/analysis steps to support AI training readiness • Supported technical analysis for accurate, consistent structured outputs • Troubleshot and iterated on workflows to maintain output quality • Delivered well-structured results on schedule for real-world problem solving

2025 - Present

Internship at Microsoft Australia (data-driven initiatives)

Don't disclose

Participated in data-driven initiatives alongside cross-functional teams in a scalable, cloud-based environment. Contributed to technical analysis and software development activities related to data initiatives that can support AI training or evaluation workflows. Worked within agile processes emphasizing collaboration, accountability, and impact-driven delivery. • Supported data-driven initiatives through technical analysis work • Collaborated with cross-functional teams to deliver data initiatives • Used industry best practices for scalable systems and agile workflows • Contributed to problem-solving efforts that strengthened technical foundations

2025 - 2025

Education

Work History