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Mohamed Lachgar

Mohamed Lachgar

Fullstack Developer - Information Systems and AI

MOROCCO flag
TanTan, Morocco
$20.00/hrEntry LevelDoccanoCVATOther

Key Skills

Software

DoccanoDoccano
CVATCVAT
Other
Internal/Proprietary Tooling

Top Subject Matter

LLM finetuning
Satellite RGB segmentation
LIDAR for selfdriving car

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Label Types

Entity Ner Classification
Segmentation
RLHF
Evaluation Rating
Computer Programming Coding

Freelancer Overview

I am a master's graduate in information systems and intelligent systems with hands-on experience in AI applications, data annotation, and training data preparation. My background includes developing AI-powered solutions such as quiz generation tools and implementing constraint acquisition systems using Python and natural language processing. I have worked with a wide range of tools and frameworks including PyTorch, scikit-learn, OpenCV, Hugging Face Transformers, and LangChain, as well as web technologies like Flask, Vue.js, and Laravel. My projects have involved computer vision, NLP, and data labeling tasks, such as converting segmentation models for remote sensing and enhancing AI systems with annotated datasets. I am passionate about building high-quality, reliable datasets to support robust AI model development.

Entry LevelFrenchArabic

Labeling Experience

AI Training Specialist

Internal Proprietary ToolingTextRLHF
As an AI Training Specialist at Pareto.ai, I contributed to the development of web browsing AI agents by curating and evaluating training datasets. My work involved creating and refining text-based prompts and expected outputs for language model improvement. I ensured the data quality by following strict guidelines for relevancy, correctness, and appropriateness. • Curated and annotated web browsing interaction datasets. • Followed data quality and consistency standards. • Collaborated with a distributed team for large-scale data generation.

As an AI Training Specialist at Pareto.ai, I contributed to the development of web browsing AI agents by curating and evaluating training datasets. My work involved creating and refining text-based prompts and expected outputs for language model improvement. I ensured the data quality by following strict guidelines for relevancy, correctness, and appropriateness. • Curated and annotated web browsing interaction datasets. • Followed data quality and consistency standards. • Collaborated with a distributed team for large-scale data generation.

2025

AI Content Evaluator

Internal Proprietary ToolingTextEvaluation Rating
At Opentrain.ai, I worked as an AI Content Evaluator specializing in multi-turn conversational AI tasks in Moroccan Arabic. I evaluated, rated, and provided feedback on the contextual appropriateness and quality of generated responses in AI chat systems. My efforts improved the robustness and reliability of multi-turn dialogue models. • Evaluated and rated multi-turn Moroccan Arabic chat conversations. • Provided detailed feedback for content accuracy and tone. • Enhanced language model adaptation to regional dialects.

At Opentrain.ai, I worked as an AI Content Evaluator specializing in multi-turn conversational AI tasks in Moroccan Arabic. I evaluated, rated, and provided feedback on the contextual appropriateness and quality of generated responses in AI chat systems. My efforts improved the robustness and reliability of multi-turn dialogue models. • Evaluated and rated multi-turn Moroccan Arabic chat conversations. • Provided detailed feedback for content accuracy and tone. • Enhanced language model adaptation to regional dialects.

2025 - 2025

AI Code Reviewer

Internal Proprietary ToolingComputer Code ProgrammingEvaluation Rating
In my position as an AI Code Reviewer at Outlier.ai, I analyzed and evaluated computer code generated by AI models. I assessed the functional correctness, readability, and adherence to coding standards in reviewed code. • Reviewed AI-generated code in python. • Provided structured feedback for model improvement. • Focused on code evaluation and error detection.

In my position as an AI Code Reviewer at Outlier.ai, I analyzed and evaluated computer code generated by AI models. I assessed the functional correctness, readability, and adherence to coding standards in reviewed code. • Reviewed AI-generated code in python. • Provided structured feedback for model improvement. • Focused on code evaluation and error detection.

2024 - 2024

Reviewing AI Coding/Programming

OtherComputer Code ProgrammingRLHFEvaluation Rating
Worked on Evaluating and reviewing AI code generation and coding tasks.

Worked on Evaluating and reviewing AI code generation and coding tasks.

2024 - 2024
CVAT

Satellite RGB image segmentation

CVATImageSegmentation
To detect the area filled with water in an RGB Satellite Imgae of a Dam I needed to train a deep learning model on a custom dataset. For that I collected a number of satellite Images and annotated them using CVAT.ai

To detect the area filled with water in an RGB Satellite Imgae of a Dam I needed to train a deep learning model on a custom dataset. For that I collected a number of satellite Images and annotated them using CVAT.ai

2024 - 2024

Education

N

National Institute Of Statistics and Applied Economy

Master of Science, Information Systems and Intelligent Systems

Master of Science
2021 - 2023
U

University of Ibn Zohr

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2017 - 2021

Work History

O

OFPPT ISTA

Trainer

Tan Tan
2025 - Present
S

Self Employed

Fullstack Developer

Tan Tan
2025 - 2025