Larson M.

Key Skills

Software

Scale AI

Top Subject Matter

AI model evaluation

annotation workflows

LLM quality assessment

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

Full-Stack Software Engineer, Outlier AI. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Doctor of Philosophy, Massachusetts Institute of Technology (MIT) (2026) and Master of Science, Massachusetts Institute of Technology (MIT) (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Senior Full-Stack / AI Engineer, Nexus AI

TextPrompt + Response Writing (SFT)

Designed and deployed scalable backend systems supporting AI model evaluation workflows and distributed processing for real-time AI systems. Built RESTful APIs and full-stack applications to enable AI evaluation operations backed by PostgreSQL and Redis. Evaluated AI model outputs and contributed to prompt optimization and model reliability initiatives with structured feedback processes. • Implemented evaluation workflow backends for AI model outputs • Built APIs for real-time AI evaluation systems • Contributed to prompt optimization and reliability improvements • Collaborated on data-intensive systems with structured feedback

2025 - Present

Full-Stack Software Engineer, Outlier AI

Text

Developed internal evaluation tools and dashboards to assess AI model output quality and reliability across grading workflows. Built scalable backend services and data pipelines to support annotation and evaluation use cases with structured datasets. Implemented caching and optimized asynchronous data processing to improve throughput for evaluation tasks. • Designed evaluation tooling for AI model assessment workflows • Built data pipelines for grading and annotation systems • Applied performance optimizations to evaluation data processing • Supported AI training/validation projects with high attention to detail

2024 - Present

Software Engineer, Scale AI

Scale AIText

Engineered backend services and processing pipelines for large-scale AI data systems used to support model training infrastructure and evaluation initiatives. Optimized distributed processing workflows to improve system efficiency for software evaluation and infrastructure reliability. Collaborated with technical teams on debugging and system optimization related to AI evaluation workflows. • Built processing pipelines for large-scale AI data systems • Optimized distributed processing workflows for evaluation tasks • Supported AI model training infrastructure and evaluation initiatives • Assisted with debugging and reliability improvements for pipelines

2023 - 2024

Machine Learning Engineer, IBM

Text

Developed and deployed NLP and machine learning applications in production environments with supporting APIs for model serving and real-time processing. Improved the reliability and performance of AI pipelines through testing and optimization, including work on structured datasets and analytics workflows. Supported cloud-based deployment and operationalization of model-serving services. • Built APIs and scalable services for model serving • Worked with structured datasets and analytics workflows • Improved reliability and performance via testing and optimization • Deployed ML components using cloud-based systems

2022 - 2023

Education

Work History