Vincent M.

Key Skills

Software

Clickworker

CloudFactory

CrowdSource

Data Annotation Tech

Deep Systems

iMerit

Labelbox

Label Studio

Other

Top Subject Matter

LLM transfer evaluation

content classification

AI safety review

Top Data Types

Text

Image

Audio

Document

Top Task Types

Bounding Box

Segmentation

Function Calling

Computer Programming/Coding

Transcription

Data Collection

Evaluation/Rating

Text Summarization

Question Answering

Text Generation

Object Detection

Classification

Diagnosis

Freelancer Overview

Freelance AI & Software Developer (AI training dataset code, multilingual annotation, LLM transfer evaluations). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Nairobi (2026). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Technical Research Assistant — University of Nairobi (2025)

OtherDocumentQuestion Answering

Supported research in pathology super-resolution imaging using deep learning models for diagnostic image quality improvement. Assisted with safety evaluation batch testing for AI-driven medical diagnostics to assess model readiness and performance. Helped collaborate on structured academic reporting for published findings. • Worked on pathology super-resolution deep learning model research • Participated in safety evaluation through batch testing for medical diagnostics • Benchmarked and contributed to comparative studies (e.g., cryptography algorithms mentioned) • Co-authored or supported structured academic reports and documentation

2023 - Present

Freelance AI & Software Developer (2024–Present) — LLM transfer evaluations for content classification projects

OtherText

Conducted LLM transfer evaluations for content classification tasks, assessing transfer learning efficiency using model experiments. Contributed to data-driven AI system development by designing and evaluating evaluation pipelines for classification performance. Produced structured reports documenting experimental outcomes and technical findings for project stakeholders. • Evaluated LLM transfer learning performance for classification-oriented content tasks • Designed or supported experiments to measure effectiveness of transfer approaches • Organized results into structured technical documentation and reports • Focused on improving accuracy and automation efficiency for downstream use

2024 - Present

Education

Work History