Emmanuel Rono

Key Skills

Software

Clickworker

CVAT

Data Annotation Tech

Humanatic

Labelbox

LabelImg

Mindrift

OneForma

Remotasks

Scale AI

SuperAnnotate

Top Subject Matter

Image labelling

Computer coding

Language translation

Language Models training

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Object Detection

Question Answering

Text Generation

Text Summarization

Freelancer Overview

I am a seasoned Image and Video Annotator with over two years of experience in freelancing across various projects. I have annotated thousands of images and videos for machine learning models, consistently ensuring high accuracy and data labeling consistency. My proficiency in industry-standard tools such as Labelbox, VGG Image Annotator, Clickworker, and CVAT has allowed me to efficiently handle a wide range of annotation tasks. I have collaborated closely with data scientists and machine learning engineers to develop and refine annotation guidelines, directly contributing to the improvement of model performance. My experience spans diverse domains, including autonomous driving, healthcare, and security surveillance. I have conducted rigorous quality control checks to ensure labeled data meets project specifications and standards. My expertise lies in identifying and labeling complex objects and scenarios, which has significantly enhanced the quality of training datasets. My key skills include image and video annotation, quality control, proficiency with annotation tools, collaboration with AI and ML teams, domain adaptability, and detailed object identification. These qualifications set me apart as a versatile and reliable professional in the field of AI training data.

Labeling Experience

Image data Labeler

CVATImageBounding Box

I was annotating image data on traffic context.

I was annotating image data on traffic context.

2022 - 2023

Computer programming

Scale AIComputer Code ProgrammingComputer Programming Coding

I trained a Scala AI model to generate functional code from natural language descriptions. It combined an LSTM network for understanding the language with reinforcement learning to optimize for efficient and readable code. The project explored the potential of AI to assist programmers and pushed the boundaries of deep learning in software development.

I trained a Scala AI model to generate functional code from natural language descriptions. It combined an LSTM network for understanding the language with reinforcement learning to optimize for efficient and readable code. The project explored the potential of AI to assist programmers and pushed the boundaries of deep learning in software development.

2022 - 2022

Computer code/ programmer

MindriftComputer Code ProgrammingComputer Programming CodingPrompt Response Writing SFT

At Mindrift, I developed a customer support chatbot using NLP techniques in Python. The project involved collecting and preprocessing a dataset of customer queries and responses, then fine-tuning a pretrained BERT model to understand and generate appropriate replies. The chatbot was designed to handle common customer inquiries, provide information and escalate issues as needed. Key issues included data cleaning, tokenisation, model training and iterative testing to ensure the chatbot's responses were accurate and helpful, ultimately enhancing the efficiency of customer support services.

At Mindrift, I developed a customer support chatbot using NLP techniques in Python. The project involved collecting and preprocessing a dataset of customer queries and responses, then fine-tuning a pretrained BERT model to understand and generate appropriate replies. The chatbot was designed to handle common customer inquiries, provide information and escalate issues as needed. Key issues included data cleaning, tokenisation, model training and iterative testing to ensure the chatbot's responses were accurate and helpful, ultimately enhancing the efficiency of customer support services.

2022 - 2022

Education

Work History