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Hire this AI Trainer

Cadyn G.

Senior Full-Stack / AI Engineer

N/A, Usa

Key Skills

Software

Other

Top Subject Matter

AI infrastructure and LLM/AI evaluation pipelines

AI/ML evaluation tooling and backend data pipelines

Distributed backend data processing for AI systems

Top Data Types

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Object Detection

Text Generation

Freelancer Overview

Senior Full-Stack / AI Engineer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Illinois University (2026) and Bachelor of Science, Illinois University (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Handshake AI — Senior Full-Stack / AI Engineer (2025–Present)

Other

In this role, the engineer built and deployed distributed AI evaluation workflows and high-throughput processing sequences. Work included developing scalable backend APIs that support automated evaluation pipelines for AI systems. The responsibilities align with creating evaluation data flows and measurement tooling used in model development cycles. • Engineered and deployed resilient backend systems for distributed AI evaluation • Developed production-grade APIs supporting evaluation and processing • Revamped backend services to improve scalability, maintainability, and reliability • Built infrastructure needed for high-throughput AI evaluation pipelines

2025 - Present

OutlierAI — Full-Stack Software Engineer (2024–Present)

Other

In this position, the engineer developed scalable evaluation tools and dashboards for assessing AI or ML outputs. The work also included building backend services and asynchronous processing pipelines that likely power evaluation runs and data generation. Overall duties supported automated evaluation workflows used in production AI systems. • Developed scalable evaluation tools and dashboards • Built backend services and asynchronous processing pipelines • Created CI/CD workflows to deploy evaluation tooling reliably • Supported evaluation automation for AI/ML systems

2024 - Present

Scale AI — Software Engineer (2023–2024)

Other

The role involved engineering distributed backend services and optimizing production data processing pipelines. While the resume does not explicitly state labeling, the focus on production data processing for AI workloads suggests involvement in data preparation and processing required for evaluation or training pipelines. The work supports the operational side of AI systems where processed datasets feed downstream model activities. • Engineered distributed backend services for AI-related production processing • Optimized production data processing pipelines • Built scalable services to support ongoing AI system operations • Focused on performance and reliability of data pipelines

2023 - 2024

IBM — Machine Learning Engineer (2022–2023)

Other

The engineer built machine learning and NLP applications and scalable APIs. This type of work typically requires preparing and transforming text data used by models and providing services that may support model training or evaluation. The responsibilities indicate hands-on AI development with NLP data workflows. • Built machine learning and NLP applications • Developed scalable APIs to serve AI functionality • Worked on text-based NLP model pipelines • Implemented AI system components in production-style services

2022 - 2023

Education

Illinois University

Master of Science, Software Engineering

Master of Science

2023 - 2026

Illinois University

Bachelor of Science, Software Engineering

Bachelor of Science

2019 - 2023

Work History

Handshake AI

Senior Full-Stack / AI Engineer

N/A

2025 - Present

OutlierAI

Full-Stack Software Engineer

N/A

2024 - Present