Mohamed Amine ATTIA

Founder

Sousse, Tunisia11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building custom AI agents for business automation.
Achieved 98% accuracy in machine learning model for biomechanics.
Focused on simplifying AI solutions for business owners.

Stackforce AI infers this person is a SaaS-focused AI developer with expertise in automation and machine learning.

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Skills

Core Skills

Artificial IntelligenceNatural Language ProcessingMachine Learning

Other Skills

PythonNLPAI modelsSalesforce CRMWhisperLightGBMSVMSelf-supervised learningCommunicationAlgorithmsUnsupervised LearningPyTorchData ScienceComputer VisionPandas

About

Hey! I'm Mohamed Amine, an AI developer with a background in Telecom Engineering and a passion for building custom AI agents that solve real business problems — from automating customer support to lead generation and internal workflows. I use tools like GPT-4, LangChain, vector databases, and APIs to build intelligent agents that work 24/7 for your business. Why work with me? I focus on results, not just code. My solutions are affordable, fast, and easy to use. I’m obsessed with simplifying AI for business owners. Let’s build your first AI agent — I can even make a free quick demo to show you what’s possible.

Experience

11 mos

Total Experience

5 mos

Average Tenure

7 mos

Current Experience

Bizbot agency

Fondateur

Sep 2025 – Present · 7 mos · Gouvernorat Sousse, Tunisie

Dräxlmaier group

Ingénieur

Feb 2024 – Jun 2024 · 4 mos · Gouvernorat Sousse, Tunisie · Hybrid

Automating structured data extraction from unstructured audio (B2B meetings)
Developed an AI-based transcription system using Whisper for automatic data extraction.
Integrated the system with Salesforce CRM, automating meeting insights.
Deployed the solution on Hugging Face for seamless model access and management.
Worked with Python, NLP, and AI models to improve transcription accuracy.

PythonNLPAI modelsSalesforce CRMWhisperArtificial Intelligence+1

Bionic soul

Stage en ingénierie

Aug 2023 – Oct 2023 · 2 mos · Gouvernorat Sousse, Tunisie

Developed calculated attributes and knee angles using a sensor fusion methodology.
Tested various machine learning models including LightGBM, SVM, and self-supervised learning.
Result: Contributed to selecting the final model, achieving 98% classification accuracy, which significantly improved the system’s reliability and performance for biomechanical analysis.

Machine LearningLightGBMSVMSelf-supervised learningArtificial Intelligence

Tunisie telecom

Stagiaire

Aug 2022 – Oct 2022 · 2 mos · Manouba, Tunisie

Comparative Study and Implementation of a Systems and Network Monitoring Solution
Conducted a comparative analysis of network monitoring tools.
Assisted in the implementation of a monitoring system for enterprise networks.