Marouane A.

Key Skills

Software

AWS SageMaker

Argilla

Clickworker

Toloka

Top Subject Matter

Moroccan Darija conversational voice AI (TTS/ASR and conversational NLP)

Voice assistant integration (TTS/STT) and real-time backend for AI services

Top Data Types

Audio

Image

Text

Top Task Types

Fine-tuning

Data Collection

Bounding Box

Segmentation

Classification

Object Detection

Question Answering

Text Generation

Transcription

Computer Programming/Coding

Function Calling

Evaluation/Rating

Freelancer Overview

AI Engineer Intern (PFE) | FINASHORE — Moroccan Darija Conversational Voice AI System (Fab 2026 - Present). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Hugging Face and Firebase. Education includes Engineering Degree in Computer Engineering, Ensa Berrechid (2026) and Diploma in Computer Engineering, Est Agadir (2023). AI-training focus includes data types such as Audio and labeling workflows including Fine-tuning and Data Collection.

Labeling Experience

AI Engineer Intern (PFE) | FINASHORE — Moroccan Darija Conversational Voice AI System (Fab 2026 - Present)

AudioFine-tuning

Spearheaded end-to-end development of a Moroccan Darija conversational voice AI by working with advanced TTS and ASR components. Built and benchmarked speech model variants, supporting evaluation datasets and model performance comparisons. Developed and fine-tuned LLM-based processing pipelines to improve conversational accuracy and context handling. • Designed a large-scale dataset factory using custom datasets • Benchmarked XTTS v2, Spark-TTS, and Whisper models • Integrated TTS/ASR into a production-grade conversational system • Improved LLM-based pipeline outputs for accuracy and context retention

2026 - Present

FullStack Developer Intern | ELYOAI NOVA — Mobile and AI Backend Development (Aug - Oct 2025)

AudioData Collection

Developed a voice assistant mobile application and integrated TTS and STT models for real-time AI service behavior. Implemented real-time synchronization between the mobile and web backend, supporting data flow required for speech input/output. Built backend infrastructure in support of audio and assistant interactions across platforms. • Integrated TTS/STT models into a Flutter mobile application • Engineered real-time data synchronization via Next.js/Firebase backend • Supported end-to-end voice assistant workflows between client and server • Ensured robust backend performance for live AI service usage

2025 - 2025

Education

Work History