Ahmed Oueslati

Software Engineer | AI Engineer | Building Autonomous Agents | Google cloud and Gen AI enthusiast

Salaire / Taux journalier

Tunis, Tunisie

Freelance, ouvert au CDI

Expertises

Google Cloud PlatformMachine LearningPythonNLP / Natural Language ProcessingGoogle BigQueryDockerKubernetesData Vizualization

Langues

Anglais (Courant)Arabe

À propos

Introduction

Passionate about Data Science and AI automation, I specialize in building intelligent systems that solve real-world business challenges. With hands-on experience in production environments, I've developed end-to-end solutions from prototype to deployment. Current Focus: Agentic AI Systems: Building multi-agent workflows with n8n and RAG architectures using Vertex AI Data Engineering: Creating automated pipelines on GCP/AWS for real-time data processing MLOps: Deploying scalable ML models with Docker, Kubernetes, and CI/CD practices Technical Stack: AI/ML: Python, TensorFlow, PyTorch, Scikit-learn, Transformers, OpenAI API Cloud & DevOps: GCP, AWS, Docker, Kubernetes, Terraform, Jenkins Data: BigQuery, Pandas, Apache Airflow, REST APIs Automation: n8n, Google Apps Script, Make/Zapier Notable Projects: Production-ready RAG agents for multi-corpus Q&A on GCP Graph-Transformer architecture for image classification Serverless computer vision pipelines on AWS Automated CI/CD infrastructure with comprehensive monitoring Let's connect! I'm passionate about leveraging AI and automation to drive business impact. Reach me at [email protected]

Liens

Expérience de travail

Data Engineer

House of Ichigo

févr. 2025 - août 2025

7 mois

Paris, France

Data Scientist

Talan TunisieFreelance

juin 2024 - août 2024

3 mois

Tunis, Tunisie

AI, Biotechnology, and Sonogenetics: Developed an innovative web platform for doctors integrating AI models for non-invasive tumor detection and treatment using ultrasound waves. Aimed to replace traditional biopsy methods with sonogenetics to enhance patient care and diagnostic accuracy.

AI Intern

SOFTParadigm

juin 2023 - août 2023

3 mois

Tunis, Tunisie

AI Model for CV Parser: Developed a model to accurately extract relevant information from diverse CVs using Spacy Transformers Utilized advanced NLP techniques, including pre-trained language modeling and named entity recognition, to enhance extraction precision and efficiency.


Formation

INSAT - Institut National des Sciences Appliquées et de Technologie

None, Networks and telecommunication


Licences et certifications

AWS Certified Cloud Practitioner

Délivré le : janv. 2026

Certifié par Amazon Web Services (AWS)

MLOps with Vertex AI

Délivré le : nov. 2025

Certifié par Google

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