Derrick Odanga

Key Skills

Software

AWS SageMaker

Appen

Clickworker

Deep Systems

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Document

Image

Text

Video

Top Label Types

Data Collection

Evaluation Rating

Mapping

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I am an experienced data annotator and AI training data specialist with a strong background in image classification, sentiment analysis, and language model fine-tuning. My work spans across computer vision projects such as annotating thousands of images for autonomous vehicle systems, as well as NLP tasks like sentiment labeling for social media monitoring and designing chatbot conversation flows. I have a proven track record of accurately labeling and validating data, collaborating with teams to meet project deadlines, and providing feedback to improve annotation processes. My expertise includes using specialized annotation tools, ensuring data quality and security, and adapting quickly to new guidelines and technologies. I am committed to continuous learning and delivering high-quality results for diverse AI and machine learning projects.

Labeling Experience

Chatbot Conversation Flow Design

Deep SystemsTextText Generation

- Designed prompts and conversation flows for a chatbot aimed at providing customer support in a retail environment. - Developed diverse scenarios to simulate customer inquiries and responses, ensuring robustness and adaptability in the chatbot's interactions. - Iteratively refined prompts based on user feedback and performance metrics to enhance the chatbot's conversational capabilities.

- Designed prompts and conversation flows for a chatbot aimed at providing customer support in a retail environment. - Developed diverse scenarios to simulate customer inquiries and responses, ensuring robustness and adaptability in the chatbot's interactions. - Iteratively refined prompts based on user feedback and performance metrics to enhance the chatbot's conversational capabilities.

2024 - 2024

Data Annotator

AppenTextEvaluation Rating

Project involved annotating thousands of images to classify objects such as vehicles, pedestrians, traffic signs, and road markings. - Applied specific annotation guidelines to ensure accuracy in object identification and classification. - Collaborated with a team of annotators to meet strict project deadlines while maintaining high-quality annotations

Project involved annotating thousands of images to classify objects such as vehicles, pedestrians, traffic signs, and road markings. - Applied specific annotation guidelines to ensure accuracy in object identification and classification. - Collaborated with a team of annotators to meet strict project deadlines while maintaining high-quality annotations

2023 - 2024

Sentiment Analysis for Social Media Monitoring

TelusImageData Collection

Annotated social media posts and comments to determine sentiment (positive, negative, neutral) towards a brand or product. - Utilized specialized tools and platforms to annotate text data and categorize sentiment accurately. - Conducted quality assurance checks to ensure consistency and reliability in sentiment annotations.

Annotated social media posts and comments to determine sentiment (positive, negative, neutral) towards a brand or product. - Utilized specialized tools and platforms to annotate text data and categorize sentiment accurately. - Conducted quality assurance checks to ensure consistency and reliability in sentiment annotations.

2023 - 2023

Language Model Fine-Tuning for Product Recommendations

Scale AITextPrompt Response Writing SFT

- Trained language models to generate product recommendations based on user queries and preferences. - Curated prompts and input data to guide the language model in understanding context and generating relevant recommendations. - Evaluated model outputs and adjusted prompts to improve recommendation accuracy and relevance.

- Trained language models to generate product recommendations based on user queries and preferences. - Curated prompts and input data to guide the language model in understanding context and generating relevant recommendations. - Evaluated model outputs and adjusted prompts to improve recommendation accuracy and relevance.

2022 - 2023

Education

Work History