Charles B.

Key Skills

Software

Micro1

Other

Top Subject Matter

AI model evaluation

prompt optimization

model reliability

Top Data Types

Text

Top Task Types

Fine-tuning

Prompt + Response Writing (SFT)

Freelancer Overview

Senior Full-Stack / AI Engineer. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1 and Other. Education includes Master of Science, University of Arizona (2020) and Bachelor of Science, University of Arizona (2017). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

Senior Full-Stack / AI Engineer at Micro1 AI (2025–Present)

Micro1

Supported AI model evaluation workflows by building scalable backend systems for distributed processing. Assessed model outputs to inform prompt optimization and improve model reliability. Implemented analytical review and structured feedback processes for data-intensive evaluation tasks. • Designed and deployed RESTful APIs for evaluation pipelines • Improved API response performance for realtime AI systems • Collaborated on structured feedback and debugging of evaluation workflows • Contributed to prompt and reliability initiatives based on evaluation results

2025 - Present

Full-Stack Software Engineer at Outlier AI (2023–2024)

Other

Developed internal dashboards and evaluation tools for AI model assessment workflows. Built backend services and data pipelines supporting grading and annotation systems. Implemented caching and performance optimizations for asynchronous data processing used in evaluation and annotation. • Created evaluation tooling to assess AI model outputs • Engineered grading/annotation system pipelines • Optimized SQL-based data processing with asynchronous workflows • Performed technical reasoning, debugging, and structured analysis for evaluation tasks

2023 - 2024

Software Engineer at Scale AI (2021–2022)

OtherFine-tuning

Built backend services and processing pipelines for large-scale AI data systems used in training infrastructure. Optimized distributed processing workflows to improve system efficiency for model training and evaluation initiatives. Collaborated with technical teams on debugging and infrastructure reliability for AI data workflows. • Supported AI model training infrastructure • Enabled software evaluation initiatives tied to AI data systems • Improved distributed processing efficiency • Participated in debugging and reliability work for evaluation/training pipelines

2021 - 2022

Machine Learning Engineer at IBM (2020–2021)

Other

Developed and deployed NLP and machine learning applications with emphasis on reliable production behavior. Built APIs and scalable services for model serving and real-time processing. Improved reliability and performance of AI pipelines through testing and optimization using structured datasets and analytics workflows. • Implemented model serving and real-time processing APIs • Conducted testing and optimization to improve AI pipeline reliability • Worked with structured datasets and analytics workflows • Supported cloud-based deployment of NLP/ML applications

2020 - 2021

AI Evaluation & Optimization Platform (Stanford / AWS Machine Learning project work, 2018–2020)

OtherTextPrompt + Response Writing (SFT)

Created an AI evaluation and optimization platform focused on measuring AI model response quality. Designed structured workflows for annotation, validation, and prompt evaluation. Improved reliability and consistency of model-generated outputs through evaluation-driven iteration. • Built tools for evaluating AI model responses • Implemented structured annotation and validation workflows • Performed prompt evaluation to drive output quality improvements • Used evaluation results to increase reliability of model outputs

2018 - 2020

Education

Work History