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D

Daniel Daami

IT Technician

Nigeria flagN/A, Nigeria
Intermediate

Key Skills

Software

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Freelancer Overview

I’ve worked on training data tasks like labeling, annotation, and reviewing model outputs to help improve how models perform. Most of my work involves organizing datasets, checking for errors, and making sure responses are accurate and consistent. I’ve handled tasks such as text classification, evaluating prompt-response pairs, spotting unusual patterns, and generally making sure the data going into models is clean and reliable. I also have a solid background in machine learning and data systems, especially in practical applications like query optimization and financial market analysis. I’ve built and worked with datasets that involve complex patterns, including trading signals and structured queries. I’m comfortable analyzing outputs, catching edge cases, and making adjustments that improve results. I tend to approach problems with both technical understanding and practical thinking, which helps me contribute effectively to AI training and evaluation work

Intermediate

Labeling Experience

Financial Data Labeling & Pattern Analysis

TextClassification
Developed and labeled datasets focused on financial market patterns, including identifying trends, entry/exit signals, and anomalies in price behavior. Worked with structured and time-series data to create consistent and accurate labels for training machine learning models. Also performed data validation and quality checks to ensure reliability, paying close attention to inconsistencies and edge cases that could affect model performance.

Developed and labeled datasets focused on financial market patterns, including identifying trends, entry/exit signals, and anomalies in price behavior. Worked with structured and time-series data to create consistent and accurate labels for training machine learning models. Also performed data validation and quality checks to ensure reliability, paying close attention to inconsistencies and edge cases that could affect model performance.

2024 - 2025

Prompt Evaluation & RLHF Training Tasks

TextPrompt Response Writing SFT
Worked on evaluating and improving AI-generated responses across different prompts. Tasks included rating responses for accuracy, relevance, and clarity, as well as rewriting or refining outputs to better align with instructions. Contributed to reinforcement learning workflows by providing structured feedback to improve model behavior and consistency across various use cases. Maintained quality by following strict evaluation guidelines, identifying weak or misleading responses, and ensuring outputs met expected standards

Worked on evaluating and improving AI-generated responses across different prompts. Tasks included rating responses for accuracy, relevance, and clarity, as well as rewriting or refining outputs to better align with instructions. Contributed to reinforcement learning workflows by providing structured feedback to improve model behavior and consistency across various use cases. Maintained quality by following strict evaluation guidelines, identifying weak or misleading responses, and ensuring outputs met expected standards

2024 - 2025

Query Optimization and AI Training Data Labeling

TextEvaluation Rating
Worked on multiple AI training and data labeling tasks across text and structured data. This included labeling and reviewing prompt-response pairs, performing text classification, and evaluating model outputs for accuracy and consistency. In addition, contributed to a query optimization project by labeling structured queries, execution plans, and performance patterns to support machine learning models in predicting efficient query strategies. Also developed and labeled financial datasets focused on trading patterns, including trend identification, entry/exit signals, and anomaly detection. Maintained high data quality by reviewing outputs, correcting inconsistencies, and handling edge cases to ensure reliable training data.

Worked on multiple AI training and data labeling tasks across text and structured data. This included labeling and reviewing prompt-response pairs, performing text classification, and evaluating model outputs for accuracy and consistency. In addition, contributed to a query optimization project by labeling structured queries, execution plans, and performance patterns to support machine learning models in predicting efficient query strategies. Also developed and labeled financial datasets focused on trading patterns, including trend identification, entry/exit signals, and anomaly detection. Maintained high data quality by reviewing outputs, correcting inconsistencies, and handling edge cases to ensure reliable training data.

2024 - 2024

Education

R

Rivers State University

Master of Science, Computer Science

Master of Science
2023 - 2025
R

Rivers State University

Postgraduate Diploma, Computer Science

Postgraduate Diploma
2023 - 2023

Work History

S

Siradan And Co, Enterprise

Logistics Specialist

N/A
2022 - Present
G

GDF Surgicals

IT Technician

N/A
2019 - 2022