David N.

Key Skills

Software

Scale AI

Top Subject Matter

AI model evaluation

Grading Domain Expertise

and annotation workflow support

Top Data Types

Text

Top Task Types

Computer Programming/Coding

Question Answering

Object Detection

Text Generation

Evaluation/Rating

Transcription

Freelancer Overview

Full-Stack Software Engineer, Outlier AI (AI evaluation tools and annotation system pipelines). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Diploma in Computer Science, The Co-operative University of Kenya (2025) and Bachelor of Science, KCA University (KCAU) (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior Full-Stack / AI Engineer - Nexus AI

Scale AIText

Senior full-stack and AI evaluation engineer responsible for designing scalable backend systems that support AI evaluation workflows and distributed processing. Built and maintained RESTful APIs and full-stack applications using Python, FastAPI, Next.js, PostgreSQL, and Redis. Focused on optimizing API response performance and reliability for real-time AI systems and contributing to prompt and model evaluation improvements. • Designed scalable backend services and data processing pipelines for AI evaluation workflows • Developed RESTful APIs and integrated full-stack features using Python and JavaScript/TypeScript • Optimized throughput and latency for real-time AI systems using caching and database tuning • Performed AI output evaluation and supported prompt optimization and model reliability initiatives

2025 - Present

Senior Full-Stack / AI Engineer, Nexus AI (AI evaluation workflows)

Designed and deployed scalable backend systems that support AI model evaluation workflows and distributed processing for real-time AI applications. Evaluated AI model outputs and contributed to prompt optimization and model reliability initiatives through structured feedback processes. Collaborated on data-intensive systems requiring precise analytical review to improve evaluation and validation outcomes.• Built RESTful APIs and full-stack applications supporting AI evaluation workflows.• Optimized API response performance and backend throughput for real-time AI systems.• Integrated structured feedback and reliability initiatives tied to model validation.• Supported analytical review and debugging within data-intensive AI pipelines.

2025 - Present

Full-Stack Software Engineer - Outlier AI

Scale AIText

Full-stack software engineer responsible for developing internal dashboards and evaluation tools used in AI model assessment workflows. Built backend services and data pipelines supporting grading and annotation-style evaluation processes while implementing caching and performance optimizations. Worked on technical reasoning, debugging, and structured analysis to support AI training and validation initiatives with high attention to detail. • Developed internal evaluation dashboards and tools for assessing AI model outputs • Built backend services and pipelines for evaluation workflow support using SQL and asynchronous processing • Implemented caching strategies to improve data processing performance and reliability • Assisted with software evaluation and technical validation tasks requiring debugging and structured reporting

2024 - Present

Full-Stack Software Engineer, Outlier AI (AI evaluation tools and annotation system pipelines)

Built evaluation tools and backend services to support AI model assessment workflows, including grading and structured annotation system pipelines. Collaborated on AI training and validation projects requiring detailed technical accuracy and structured analysis of results. Contributed to prompt evaluation and reliability initiatives by integrating feedback loops into the evaluation process.• Developed scalable data pipelines for grading and annotation workflows.• Implemented caching and optimized data processing performance using SQL and asynchronous workflows.• Performed debugging and analytical review to support evaluation tasks.• Supported technical reasoning and structured feedback for model validation.

2024 - Present

Education

Work History