Portrait of Ameni Khabthani

Hi, I’m Ameni Khabthani

I'm a

About Me

AI Engineer and Data Scientist specializing in speech technologies, NLP, and end-to-end machine learning systems. I work with startups and teams to build and deploy reliable, production-ready AI solutions.

Ameni Khabthani

AI & Voice Engineer | Freelancer

12+

Projects

6

Clients

1+

Years Experience

Looking to Build Practical AI Solutions?

I build end-to-end speech and language AI systems, including automatic speech recognition, text-to-speech, dubbing, translation, and large language models. My work focuses on leveraging state-of-the-art approaches to deliver reliable, high-quality solutions.

I emphasize clean data pipelines, efficient training and finetuning strategies, and scalable inference workflows designed for real-world deployment across multiple languages and accents.

Automatic Speech Recognition
Text-to-Speech & Voice Cloning
Dubbing & Translation
LLM Finetuning & AI Deployment
Services

I deliver end-to-end AI solutions in speech technologies and NLP, covering dataset preparation, model finetuning (LLMs, ASR, TTS), and deployment of production-ready systems.

Data Preparation


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Model Finetuning & Optimization


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Integration & Deployment


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Transform Your Vision Into AI-Powered Solutions

Whether it’s speech recognition, text-to-speech, or large language model finetuning, I help turn ideas into fully functional AI systems.


View case studies
Resume

A summary of my professional experience, freelance projects, and academic background.

Experience

Freelance Projects

Selected freelance projects focused on speech processing, NLP systems, and end-to-end AI pipelines.

2025

Seamless Dubbing Automation

Saas startup (NDA)


Context

Built a fully automated multilingual dubbing system to replace a costly and inflexible third-party service. The solution transformed raw audio and video content into synchronized, natural-sounding dubbed outputs across multiple languages.

Realisation

  • Supported both audio- and video-based inputs for end-to-end dubbing.
  • Implemented speaker diarization and ASR using Whisper Large v3.
  • Performed automatic translation and multilingual speech synthesis using a hybrid XTTS + Orpheus TTS approach.
  • Applied audio alignment and merging to produce synchronized, natural-sounding dubbed output.
  • Deployed the full pipeline as a Flask API on Azure App Service.

Impact

Enabled scalable, high-quality multilingual dubbing with improved voice consistency, accurate synchronization, and full control over the end-to-end process.

Whisper Large v3 GPT4 XTTS OrpheusTTS Flask AZURE
2025

AI-based Astrology API

Independent Client


Context

Designed an AI-powered astrology API that delivers personalized, context-aware answers to horary astrology questions. By combining traditional astrological logic with modern NLP and large language models, the system produces coherent and meaningful interpretations.

Realisation

  • Designed a backend API delivering personalized astrology responses.
  • Integrated an LLM (GPT-4o) with prompt engineering and intent classification to generate context-aware, user-specific insights.
  • Combined traditional astrology rules with AI-driven reasoning for more coherent and meaningful outputs.
  • Implemented database management using Supabase to store user profiles, query histories, and custom configurations.
  • Designed the system for extensibility, allowing dynamic prompts and configurable response logic.

Impact

Provided scalable, personalized astrology experiences with consistent, context-aware responses, improving user engagement and allowing flexible customization for different user needs.

GPT-4o Intent Classification Prompt Engineering FastAPI Supabase
2025

Creating a Custom TTS System

Independent Clients


Context

Designed and fine-tuned a custom text-to-speech system capable of voice cloning and speaker adaptation for natural, expressive speech generation, positionned for multiple clients across different languages including Tunisian, Maghrebian, Hindi, and Hinglish.

Realisation

  • Prepared and curated multilingual datasets in the required format for fine-tuning for each client.
  • Applied audio preprocessing, normalization, and segmentation to ensure high-quality training data.
  • Conducted full model fine-tuning to capture unique speaker characteristics and multilingual nuances.
  • Implemented inference in both batch and streaming modes based on client requirements.
  • Delivered a flexible TTS system adaptable to different languages, accents, and deployment preferences.

Impact

Produced highly natural, expressive, and multilingual speech output for multiple clients, offering them a flexible and scalable solution for their audio content needs.

XTTS Full Finetuning Voice Cloning
Education

Academic Background

My academic background, complemented by professional certifications.

2023 - 2024

Master’s in Data Science, AI, and HealthTech

Pristini School of AI

2020 - 2022

Bachelor’s Degree in Electrical Engineering Specializing in Automation and Industrial Computing.

Iset Mahdia

Very good mention
Portfolio

Explore my AI and Voice Technology demos, including Speech Recognition and Text-to-Speech projects.

  • Recent achievements
AI Speech Demo
This demo highlights the capabilities of our multilingual ASR system. Users can upload an audio file in English, French, or Tunisian-accented speech, select the appropriate language code, and submit it to view accurate transcription results across diverse accents and dialects.
Multilingual ASR
2025
AI Voice Demo
This demo showcases our TTS system with support for English, French, and Tunisian-accented speech. Users provide text as input, set the language code, and supply an audio reference before generation, enabling voice cloning and customized synthesis. Parameters such as temperature, GPT confidential length and top-p can be adjusted to produce varied and natural-sounding audio outputs.
Multilingual TTS Voice cloning
2025

Like what you see?

Check out my demos and see the power of AI-driven speech technology in action.

Recommendations

What Clients Say

Marius

Abhishek Kaul

Entrepreneur, NextKid Private limited

I had the pleasure of working with Ameni Khabthani as a client, and I can confidently say she exceeded my expectations in every aspect.
She freelanced for my company NextKid Private Limited, where she developed a high-quality child voice Text-to-Speech (TTS) system by finetuning Coqui TTS. The results were outstanding — the voice quality was natural, expressive, and perfectly suited for our use case. Her technical expertise in voice AI and finetuning models is truly impressive.
Ameni delivered everything on time, paid great attention to detail, and executed the project exactly as discussed. Beyond her strong technical skills, her professionalism, communication, and positive nature made the collaboration smooth and enjoyable. She was responsive, open to feedback, and always focused on delivering the best possible outcome.
I would highly recommend Ameni to anyone looking for a skilled, reliable, and professional AI/voice engineer. I'd be happy to work with her again in the future.

Contact

Feel free to reach out for AI projects, speech technology collaborations, freelance opportunities, or technical consultations. I'm always excited to explore innovative ideas.

Address

Mahdia, Tunisia

Call Me

+216 23 513 019

Typical response time: 24–48 hours

Your information will be kept confidential and used only to respond to your inquiry.