Mohamed Zahry

Key Skills

Software

CVAT

Labelbox

Label Studio

SuperAnnotate

Top Subject Matter

Financial Analysis

LLM evaluation in French

Image classification

Computer Programming and Coding

LLM evaluation (French, English, Arabic)

Financial data labeling

Top Data Types

Audio

Medical Dicom

Text

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

Text Summarization

Translation Localization

Freelancer Overview

As a detail-oriented professional with a strong background in data analysis and financial management, I'm excited to transition my skills to data labeling. My experience as a Management Controller at Société Laitière de Vichy honed my ability to handle large datasets with precision and develop key performance indicators. I excel in using analytical tools like Excel, SQL, and Python. Throughout my career, I have developed small applications in Python to streamline financial processes and enhance data analysis. This hands-on experience with Python has equipped me with the technical skills necessary for accurate and efficient data labeling. I also have experience in a project focused on generating Reinforcement Learning with Human Feedback (RLHF) data to enhance code generation capabilities for Python development. In this project, I reviewed, corrected, and optimized auto-generated Python scripts, functions, and algorithms. The data collected was used to train large language models (LLMs) to better understand coding standards, efficient practices, and problem-solving strategies in Python. My track record of quickly adapting to new environments and technologies, as demonstrated by my diverse roles in finance and consulting, ensures I can rapidly become proficient in data labeling techniques. I'm eager to apply my analytical mindset, technical skills, and commitment to accuracy to contribute effectively to your data labeling projects.

Labeling Experience

RLHF for Python Code Generation

SuperannotateComputer Code ProgrammingRLHF

I contributed to enhancing code generation capabilities for Python development by generating Reinforcement Learning with Human Feedback (RLHF) data. My tasks included : Reviewing and Correcting: Evaluating auto-generated Python scripts, functions, and algorithms for accuracy and efficiency. Optimizing Code: Providing feedback and making improvements to ensure the code adhered to best practices and coding standards. Training Data Collection: Collecting and annotating data to train large language models (LLMs) to better understand coding standards, efficient practices, and problem-solving strategies in Python. Improving AI Models: Helping to refine the AI's ability to generate high-quality and reliable code suggestions for real-world applications.

I contributed to enhancing code generation capabilities for Python development by generating Reinforcement Learning with Human Feedback (RLHF) data. My tasks included : Reviewing and Correcting: Evaluating auto-generated Python scripts, functions, and algorithms for accuracy and efficiency. Optimizing Code: Providing feedback and making improvements to ensure the code adhered to best practices and coding standards. Training Data Collection: Collecting and annotating data to train large language models (LLMs) to better understand coding standards, efficient practices, and problem-solving strategies in Python. Improving AI Models: Helping to refine the AI's ability to generate high-quality and reliable code suggestions for real-world applications.

2024 - 2024

LLM chatbot Training

Label StudioTextText Generation

In this project, I was responsible for training AI chatbots by crafting and refining dialogue in French. My tasks included : Dialogue Creation: Generating authentic and culturally relevant responses based on given prompts to train AI systems in natural language understanding. Quality Improvement: Enhancing the quality of AI-generated texts to ensure they are accurate, engaging, and relatable.

In this project, I was responsible for training AI chatbots by crafting and refining dialogue in French. My tasks included : Dialogue Creation: Generating authentic and culturally relevant responses based on given prompts to train AI systems in natural language understanding. Quality Improvement: Enhancing the quality of AI-generated texts to ensure they are accurate, engaging, and relatable.

2024 - 2024

Education

Work History