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Sims Danielle

Sims Danielle

AI & Software Engineer — Remote

USA flagN/A, Usa
$30.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Natural Language Processing
Large Language Models
Machine Learning Classification

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

Fine-tuningFine-tuning
Computer Programming/CodingComputer Programming/Coding
Question AnsweringQuestion Answering

Freelancer Overview

AI & Software Engineer — Remote. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, MIT (2022) and Master of Science, MIT (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

ExpertEnglishSwahili

Labeling Experience

AI & Software Engineer — Remote

Text
Built and evaluated LLM systems focused on reasoning accuracy and response improvement. Conducted detailed LLM error analysis and optimization using annotated datasets. Enhanced LLM accuracy through data annotation and response ranking processes.• Conducted structured evaluation of LLM outputs• Performed hands-on data annotation for AI training• Leveraged prompt engineering for model improvement• Collaborated on large-scale AI projects

Built and evaluated LLM systems focused on reasoning accuracy and response improvement. Conducted detailed LLM error analysis and optimization using annotated datasets. Enhanced LLM accuracy through data annotation and response ranking processes.• Conducted structured evaluation of LLM outputs• Performed hands-on data annotation for AI training• Leveraged prompt engineering for model improvement• Collaborated on large-scale AI projects

2023 - Present

Machine Learning Engineer — Remote

TextFine Tuning
Fine-tuned machine learning models using annotated NLP datasets. Improved classification systems through error analysis and structured data labeling. Contributed to the accuracy and reliability of predictive AI models.• Utilized classification labels on textual data• Performed hands-on data annotation for model training• Assisted in dataset optimization and cleaning• Supported end-to-end ML pipeline design

Fine-tuned machine learning models using annotated NLP datasets. Improved classification systems through error analysis and structured data labeling. Contributed to the accuracy and reliability of predictive AI models.• Utilized classification labels on textual data• Performed hands-on data annotation for model training• Assisted in dataset optimization and cleaning• Supported end-to-end ML pipeline design

2022 - 2023

Education

M

MIT

Master of Science, Software Engineering

Master of Science
2020 - 2022
M

MIT

Bachelor of Science, Software Engineering

Bachelor of Science
2016 - 2020

Work History

N

N/A

AI & Software Engineer

N/A
2023 - Present
N

N/A

Machine Learning Engineer

N/A
2022 - 2022