My Professional Experience

freelance

January 2026 - March 2026

Freelance Machine Learning Engineer (AI Infrastructure)

Decentralized GPU Platform (Replicate-style)

Designed and optimized containerized AI inference systems for image generation, targeting fast startup and efficient GPU utilization on community GPU providers

  • Built pre-baked Docker images for ComfyUI-based inference pipelines
  • Integrated Flux family models optimized to run on 24GB GPU environments
  • Applied model quantization techniques to reduce VRAM and RAM usage
  • Implemented automated startup scripts for headless execution and API usage
  • Optimized container startup time for serverless and start/stop GPU instances
  • Tested deployments on Vast.ai and SaladCloud GPU platforms
Python Docker NVIDIA CUDA ComfyUI FastAPI Model Quantization GPU Optimization Vast.ai SaladCloud
SAP

May 2025 - December 2025

Technical Support Engineer – SAP Analytics Cloud (SAC)

SAP

Supported global clients with Analytics and BI solutions using SAP Analytics Cloud.

  • Collaborated directly with clients to deliver practical analytical solutions using SAP SAC
  • Combined technical and functional expertise to develop SAC solutions aligned with client expectations
  • Worked with live data models and import models based on BW queries and HANA calculation views / procedures
  • Implemented best practices for dashboards using analytic designs and live data models
  • Monitored new SAC feature releases and proactively integrated relevant updates into client solutions
  • Created technical documentation through Knowledge Base Articles for both internal and external use
  • Provided real-time customer support through Expert Chat
SAP Analytics Cloud Analytic Designer SAC Planning Knowledge Management Jira Data Analytics
TU Chemnitz

February 2024 - August 2024

Research and Development Intern - Data Engineer

Measurement and Sensor Technology (MST), TU Chemnitz, Germany

Designed an innovative EEG-based epileptic seizure classification system using compressive sensing and real-time monitoring tools.

  • Collected and preprocessed EEG data using MATLAB and ICA
  • Built a Python-based feature selection pipeline
  • Developed a web visualization tool with React.js and Flask
  • Deployed real-time model on Raspberry Pi 4
Python MATLAB EEGLAB XGBoost ICA Raspberry Pi 4 Google Colab
Leoni

June 2023 - July 2023

Deep Learning Developer Intern

Leoni, Tunisia

Built and optimized deep learning models for facial recognition and emotion detection in real-time environments.

  • Developed CNN models with TensorFlow for employee identification
  • Implemented real-time image processing using OpenCV
  • Performed testing and tuning for model performance enhancement
TensorFlow OpenCV Python Jupyter Deep Learning
Sparks Foundation

June 2023 - July 2023

Machine Learning Developer Intern

The Sparks Foundation, Singapore (Remote)

Worked on real-world datasets to build hybrid predictive models for financial and sentiment analysis.

  • Performed EDA on 'SampleSuperstore' dataset to uncover key business insights
  • Developed models for stock price prediction and sentiment classification
  • Applied both supervised and unsupervised learning techniques
Machine Learning Clustering Regression Python
Tunsat 1 project

July 2022 - August 2022

IoT Developer Intern

TUNSA and ESPITA – Tunsat1 Satellite Project, Tunisia

Developed robust microcontroller communication protocols and satellite system components for CubeSat missions in collaboration with JAXA and UNOOSA.

  • Created communication protocol using STM32 microcontrollers and I2C
  • Designed redundancy backup system for critical CubeSat subsystems
  • Presented technical work to JAXA and UNOOSA committees
STM32 CubeMX I2C Embedded Systems