Amarachukwu U.

Key Skills

Software

Don't disclose

Other

Appen

Top Subject Matter

AI agents for public health

retail support

CRM email extraction

Top Data Types

Text

Audio

Video

Top Task Types

Data Collection

Object Detection

Segmentation

Freelancer Overview

AI Prompt Engineer & Developer (Freelance) — Self-Employed / Various Enterprise Clients (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Abuja, Federal Ministry of Health (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Prompt Engineer & Developer (Freelance) — Self-Employed / Various Enterprise Clients (Remote)

Don't discloseText

Freelance AI Prompt Engineer and Developer evaluating LLM outputs for strict user personas and improving constraint adherence to reduce hallucinations. Work included testing responses for structured JSON extraction with zero errors and benchmarking model extraction of key fields from incoming emails. Responsibilities also covered prompt refinements for persona/tone guardrails and quality checks before automated actions or routing decisions. • Evaluated public health agent outputs against personas and formatting constraints • QA retail Telegram support agent outputs by validating retrieval-augmented responses • Curated email test suites to benchmark structured JSON extraction accuracy • Refined few-shot/system prompts and edge-case testing for conversational agents

2025 - Present

Monitoring and Evaluation & Data Support — Federal Ministry of Health, Abuja

OtherTextData Collection

Performed monitoring, evaluation, and data support activities involving collecting, cleaning, and validating multi-source datasets to improve accuracy and reliability. Developed structured reports and dashboards to support data-driven decisions and strengthened digital documentation and information systems to improve data flow. Applied data validation techniques and ensured consistency while communicating insights to both technical and non-technical stakeholders. • Collected and cleaned multi-source datasets for improved data accuracy • Applied validation techniques to ensure reliability and consistency • Produced structured reports and dashboards for stakeholder decision-making • Supported digital documentation and information systems strengthening data flow

2023 - 2025

Education

Work History