
Rami Jellali
AI-driven Ops-as-a-Service | @Converty
Salaire / Taux journalier
Tunis, Tunisie
Freelance, ouvert au CDI
Peut venir sur site
Expertises
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.
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
Attendance Hashgraph Developer
Délivré le : avr. 2025