Marco Antonio Campos Mena

Key Skills

Software

CVAT

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Bounding Box

Polyline

Classification

Segmentation

Freelancer Overview

AI & Full-Stack Engineer with 7+ years of experience designing, building, and evaluating advanced software and AI systems. Skilled in Python for data science, Rust for performance-critical services, and full-stack web development with JavaScript/Node.js, React, and modern cloud platforms (AWS, GCP). Experienced in large-scale dataset curation, annotation, and LLM evaluation (RLHF, hallucination audits, prompt engineering). Strong background in building cross-functional pipelines, automating workflows, and producing verified AI training solutions. Adept at translating complex technical problems into reproducible solutions across AI, blockchain, and web platforms.

Labeling Experience

Text Classification for Customer Support Tickets

Label StudioTextSegmentationClassification

Reviewed customer support messages and labeled each ticket by intent (billing, technical issue, account access, feedback) and sentiment (positive, neutral, negative). Ensured high accuracy and consistency. Contributed to training models that route tickets automatically.

Reviewed customer support messages and labeled each ticket by intent (billing, technical issue, account access, feedback) and sentiment (positive, neutral, negative). Ensured high accuracy and consistency. Contributed to training models that route tickets automatically.

2024 - 2025

Image Annotation for E-commerce Product Catalog

CVATImageBounding BoxPolyline

Annotated product images by drawing bounding boxes around items and assigning category and attribute labels (color, size, material). Followed strict annotation guidelines to ensure consistency. Performed quality checks and corrected mislabels. Helped improve product recognition model accuracy.

Annotated product images by drawing bounding boxes around items and assigning category and attribute labels (color, size, material). Followed strict annotation guidelines to ensure consistency. Performed quality checks and corrected mislabels. Helped improve product recognition model accuracy.

2020 - 2022

Education

Work History