AI Engineer (FinTech Industry) - Value Digital Services - Tunisia, Hybrid
(2026-01)
- Agentic RAG Chatbot For Banks: Developed an Agentic RAG chatbot solution for the banking sector using Azure AI services, enabling intelligent document-based conversational assistance.
- Built an end-to-end document ingestion pipeline leveraging Azure Blob Storage, Event Grid, Azure Document Intelligence, Azure AI Search, and OpenAI embeddings (text-embedding-ada-002).
- Implemented conversational memory and caching mechanisms using Redis to optimize chatbot performance and response latency.
- Integrated MLflow for prompt/version tracking and used RAGAS for evaluating retrieval and generation quality.
- Monitored and improved AI workflows using Laminar observability tools for tracing and performance analysis.
- AI-Driven Client Portfolio Analysis: Developed an AI-powered portfolio analysis system for banking clients using tabular financial data and fixed banking KPIs.
- Leveraged LLMs to generate automated portfolio insights, risk interpretation, and personalized financial analysis for client portfolios.
- AI Data Engineering & Automation Solutions: Developed web scraping pipelines to collect and structure large-scale data from online sources.
- Deployed AI services and APIs using FastAPI, Docker, and asynchronous task processing with Celery.
- Designed and orchestrated data pipelines using Airflow DAGs for automated data ingestion and processing.
- Performed large-scale analysis of social media reviews and user feedback using LLM-based NLP techniques.
- Built data processing workflows and integrated AI models into production environments.
AI Team Lead (HRTech Industry) - Fabskill - Tunisia, Hybrid
(2025-06 - 2026-01)
- Lead AI team developing CV parsing and matching solutions using RAG, LLMs, OCR, and Milvus.
- Deploy APIs using FastAPI and Docker for scalable AI services.
- Manage Git workflows and collaborate cross-functionally to deliver AI-powered recommendation features.
- Drive improvements in parsing accuracy and system performance.
Data and Machine Learning Engineer (HealthTech Industry) - Knowlepsy - Tunisia, Remote
(2023-12 - 2024-11)
- Contributed to building models for epileptic seizures triggers.
- Built Dash + PostgreSQL dashboards, reducing manual reporting.
- Designed scalable ETL pipelines on Azure (10K records/sec, 96% availability).
- Documented models and added unit tests for reliability.
- Worked on time series (wearables), LLMs (chat/forms), and Computer Vision (meal/activity detection).
Data Science Engineer | AI-Driven Hospital Resource Optimization - Institute of Intelligence and Data (IID), Laval University - Canada, Hybrid
(2023-03 - 2023-08)
- Developed predictive AI models to estimate patient diagnosis severity and hospital length of stay, ensuring fairness across gender and other sociodemographic factors.
- Optimized hospital admission workflows, achieving a 12% improvement in resource utilization and patient throughput at IUCPQ hospital.
- Conducted systematic evaluation of AI model performance and bias to ensure actionable, reliable results for clinical and operations teams.
- Delivered technical reports and presentations to stakeholders to support deployment of AI-driven solutions in production environments.
Data Scientist | Extraction and Conversion of Invoices to CSV - AxeFinance - Tunisia, On-Site
(2022-07 - 2022-08)
- Automated data extraction from financial statements using Docker and OCR, reducing manual effort by 66%.
- Implemented a scalable pipeline for table detection, text parsing, and CSV conversion.
- Orchestrated services with Docker Compose, enabling scalable processing of financial data.
