Quincy Mumma

Key Skills

Software

Data Annotation Tech

SuperAnnotate

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Bounding Box

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

As a Software Engineer with a Bachelor's Degree in Computer Science, I bring a deep technical perspective to the field of AI data training. My core expertise lies in handling complex data types, including computer code, technical documentation, and nuanced text. I specialize in developing and evaluating high-quality datasets for AI-powered developer tools and code generation models. My professional experience includes hands-on projects in the FinTech sector, particularly with mobile payment systems, providing me with strong domain knowledge in that area. I am also highly proficient in prompt engineering and Supervised Fine-Tuning (SFT) for Large Language Models, with a focus on LLM evaluation for conversational AI. My engineering background allows me to not only execute annotation tasks with precision but also to understand the critical impact of data quality on the performance and safety of AI systems.

Labeling Experience

Senior Image Data Annotator & QA Specialist

Data Annotation TechImageBounding BoxPolygon

Led high-precision image annotation and quality assurance workflows for training multimodal Generative AI models. Responsibilities included creating ground truth datasets using Bounding Box and Polygon annotation techniques to identify objects within complex scenes. Performed expert-level validation of model outputs to ensure accuracy, security and adherence to quality guidelines using internal DATA ANNOTATION.tech tools

Led high-precision image annotation and quality assurance workflows for training multimodal Generative AI models. Responsibilities included creating ground truth datasets using Bounding Box and Polygon annotation techniques to identify objects within complex scenes. Performed expert-level validation of model outputs to ensure accuracy, security and adherence to quality guidelines using internal DATA ANNOTATION.tech tools

2024 - 2025

Algorithm Development and Model Accuracy Enhancement

Data Annotation TechComputer Code ProgrammingEvaluation RatingComputer Programming Coding

As part of a senior level role, I contributed to cutting-edge projects by architecting back-end solutions for machine learning pipelines. My work involved a deep analysis and evaluation of datasets used to train AI models. I developed and annotated data that led to a novel algorithm which improved model accuracy by 15% and reduced time inference by 20%. This project required expert-level data evaluation to identify and correct inefficiencies in ML pipelines

As part of a senior level role, I contributed to cutting-edge projects by architecting back-end solutions for machine learning pipelines. My work involved a deep analysis and evaluation of datasets used to train AI models. I developed and annotated data that led to a novel algorithm which improved model accuracy by 15% and reduced time inference by 20%. This project required expert-level data evaluation to identify and correct inefficiencies in ML pipelines

2024 - 2025

Education

Work History