Martins I.

Key Skills

Software

Other

Top Subject Matter

Computer Vision

Natural Language Processing

AI policy/analysis (non-labeling work inferred)

Top Data Types

Image

Text

Top Task Types

Object Detection

Entity (NER) Classification

Freelancer Overview

AI Engineer | Data Sequence (computer vision ML development). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Computer Science (Machine Learning), PyTorch Academy (2026). AI-training focus includes data types such as Image, Text, and Computer Code and labeling workflows including Object Detection, Entity (NER) Classification, and Evaluation.

Labeling Experience

PyTorch Ambassador (stakeholder guidance and reporting)

Other

Performed ongoing research and analysis activities associated with AI-related policy and emergency preparedness work in coordination with stakeholders. Produced monitoring reports covering potential national and international implications to support decision-making under uncertainty. Provided guidance on relevant regulations and treaty obligations affecting cross-border engagement. • Supported crisis-management and emergency-response initiatives • Monitored political and social developments and prepared implication reports • Advised stakeholders on international regulations and obligations • Engaged communities and institutions to maintain strong operational communications

2025 - Present

AI Engineer | Data Sequence (NLP model development)

OtherTextEntity (NER) Classification

Developed natural language processing models to enhance user interactions and automate workflows. Established performance metrics and evaluation frameworks to measure the effectiveness of NLP solutions. Collaborated with multidisciplinary teams to create user-focused interfaces that improved human–AI interaction. • Built and optimized NLP models for automated workflows • Defined evaluation and measurement approaches for NLP performance • Integrated NLP outputs into user-facing interaction experiences • Maintained technical documentation for NLP methodologies and results

2022 - 2026

AI Engineer | Data Sequence (computer vision ML development)

OtherImageObject Detection

Built and optimized computer vision solutions for visual-information processing as part of AI model development. Translated imaging goals into training/evaluation workflows to improve interpretation quality. Ensured that performance metrics and evaluation frameworks supported iterative improvement of computer vision outputs. • Developed image-based ML pipelines for improved interpretation • Defined evaluation metrics for vision model effectiveness • Conducted research on responsible deployment considerations for vision systems • Documented methodologies, development processes, and outcomes

2022 - 2026

Education

Work History