Rami Jellali

AI-driven Ops-as-a-Service | @Converty

Salaire / Taux journalier

Tunis, Tunisie

Freelance, ouvert au CDI

Peut venir sur site

Expertises

PythonPyTorchDockerNLP / Natural Language ProcessingLLMs / Large language modelsMachine LearningData VizualizationAWS

À propos

Introduction

I'm a Data Scientist based in Tunisia 🇹🇳 with a strong interest in collaborating with Swiss 🇨🇭 and German 🇩🇪 companies to develop real-world AI solutions that deliver business value. 📌 Core Expertise • Predictive Modeling & Business Forecasting • NLP (Chatbots, Summarization, Retrieval-Augmented Generation) • Dashboarding & Data Visualization (Power BI, Streamlit) • MLOps (Airflow, Docker, AWS/GCP) 🚀 What I Offer • Open to remote contracts and summer internships • Fluent in French 🇫🇷 and English 🇬🇧 • Available for part-time, freelance, or consulting projects • Willing to travel or relocate within Europe for the right opportunity 👩‍🎓 Expected Graduation: June 2026.

Liens

Expérience de travail

AI Voice Assistant Development

Converty

juin 2025 - Présent

1 an 5 mois

Tunis, Tunisie

I joined Converty as a Summer Intern to contribute to the design and development of a smart voice assistant capable of interacting with customers in the Tunisian dialect over phone calls. My key missions included: Designing a modular voice interaction system combining STT (Speech-to-Text), LLM-based intent processing, and TTS (Text-to-Speech) Experimenting with Whisper and Coqui TTS for real-time local processing Investigating fine-tuning strategies for Tunisian dialect handling Integrating VoIP/SIP systems (Twilio, Asterisk) to support automated voice call flows Optimizing response latency across the voice pipeline for production-level deployment

Data Scientist – AI for E-commerce Growth

The Dental SolutionsFreelance

mai 2025 - août 2025

4 mois

Montréal, QC, Canada

Data Science Intern

ESPRIT (Ecole Supérieure Privée d'Ingénierie et de Technologies)

juil. 2024 - août 2024

2 mois

Developed fraud detection systems using machine learning, implemented real-time data processing, and visualized financial metrics to enhance transparency in business operations. •Employed advanced reporting techniques to track fraud detection KPIs, focusing on anomaly detection accuracy and response times. Technologies Used: Python, PyTorch, Jax, Docker, AWS

Assistant

Telecom

juin 2021 - juil. 2021

2 mois

Sidi Bouzid, Tunisie


Formation

Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT

4th year, Computer Science


Licences et certifications

Scrum Foundation certification

Délivré le : avr. 2025

Certifié par Certiprof

Attendance Hashgraph Developer

Délivré le : avr. 2025

Certifié par The Hashgraph Association

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© 2026. Tous droits réservés.