Joshua S.

Key Skills

Software

Other

AWS SageMaker

Axiom AI

Appen

Argilla

Clickworker

Anno-Mage

Top Subject Matter

Spam/Ham Detection in SMS (NLP)

Nlp Domain Expertise

Semantic Search

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Classification

Polygon

Segmentation

Entity (NER) Classification

Text Generation

Object Detection

Question Answering

Text Summarization

Fine-tuning

RLHF

Transcription

Evaluation/Rating

Freelancer Overview

NLP-focused software engineer and AI workflow contributor with several years of experience across backend engineering, computational modeling, data annotation workflows, and machine learning projects. Experienced in building NLP classification pipelines, supervised learning datasets, API-driven systems, and explainable AI workflows using Python and scientific computing tools. Background includes software engineering, real-time systems, and AI-assisted data processing with strong emphasis on reproducibility, evaluation quality, and scalable workflow design.

Labeling Experience

AI Data Labeler and Annotation Workflow Designer

OtherTextClassification

I worked extensively with labeled datasets and annotation-based workflows in AI engineering projects. My responsibilities included designing and generating labeled data for supervised learning tasks, supporting systems in NLP classification and pattern detection. This work was integral to building and evaluating high-quality, production-ready AI models. • Created and curated labeled datasets for machine learning. • Developed processes for semantic understanding and pattern recognition using annotations. • Collaborated on explainable AI integrations with labeled data. • Managed annotation workflow development and deployment.

2021 - Present

NLP Data Labeler and AI Pipeline Developer, Spam Detection Project

OtherTextClassification

I implemented a data preprocessing and labeling workflow as part of building a supervised learning SMS spam detection AI system. My labeling process involved applying NLP techniques to accurately classify messages as spam or ham, crucial for model training. I created an annotated dataset that supported explainable AI by highlighting token-level contributions to predictions. • Developed an end-to-end NLP pipeline for text data labeling. • Performed manual and programmatic SMS message classification. • Generated token-level attributions for transparency in the AI model. • Used Python and Scikit-learn with interactive Streamlit visualization tools.

2023 - 2023

Education

Work History