09/24/2026 updated
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Senior AI/ML Engineer & Data Scientist · CV · Edge AI · Private LLMs · Databricks · Azure
Mons, Belgium
Only remote
Joint PhD, Machine & Deep Learning (University of Mons & University of Mostaganem, 2014-2020)About me
PhD-qualified AI/ML Engineer & Data Scientist (joint PhD, 10+ years): production CV, Edge AI, private LLM/RAG, data platforms. Founder, AminTechs SRL (Belgium). 25 pubs/287 citations. Azure, Databricks/PySpark/Delta, Kafka, Jetson/CUDA/DeepStream/TensorRT. Fabric PoC only. 650 EUR HT/day; remote EU.
Application Programming Interfaces (APIs)Artificial IntelligenceBig DataNvidia CUDAData ArchitectureMachine LearningTensorFlowDataOpsAzure Machine LearningAzure Data LakeData StreamingAzure Data FactoryPyTorchDeep LearningGitLab
Data Engineering with Databricks and Python Pipelines
Batch/streaming ETL with Databricks, PySpark, Delta Lake, Python; data versioning, auditing, lineage and data quality.
Azure Cloud Data Platforms
Azure Functions, Container Apps Jobs, Event Hub, Service Bus, Azure ML; event-driven architectures processing 1M+ messages/day.
Machine Learning and Deep Learning Engineering
ML/DL model development/deployment: Computer Vision, anomaly detection, real-time video analytics on AWS/Azure ML; led ML/DL teams and CI/CD production AI.
Kafka and Messaging Systems
Kafka event streaming, AWS MSK and Azure Service Bus.
C++ and High-Performance Video Processing
Low-latency C++ audio/video; NVIDIA DeepStream for concurrent 1080p feeds; ANPR integration.
REST APIs and Microservices
Python microservices for ingestion, validation, normalization, enrichment and JSON inference events via REST APIs.
DevOps and Infrastructure
Docker Swarm, Docker, Kubernetes, Jenkins, GitLab, Vault, Linux; CI/CD and DataOps.
LLM and RAG Solutions
On-premise private LLM summarization apps, RAG assistants and chatbots over private enterprise data.
SQL and NoSQL Databases
SQL Server, NoSQL, HubSpot, Odoo and Oracle; JSON contracts and API orchestration.
Big Data and GPU/HPC Processing
Large-scale image/video indexing with deep learning, Big Data, GPU/TPU acceleration.
Additional tools: PyTorch, TensorFlow, YOLO, TensorRT, CUDA, NVIDIA Jetson, Edge AI, FastAPI, MLflow. Fabric: proof-of-concept only.
Experience
Professional experience10+ years
Freelancer since2023
Languages
ArabicNative speakerEnglishNative speakerFrenchNative speakerDutchBasic knowledge
Project history
B2B consulting including designing event-driven Azure pipelines (Functions, Container Apps Jobs, Event Hub, Service Bus) processing over 1 million messages per day, building Python microservices for message ingestion and validation, delivering integration workflows with HubSpot and Odoo, using Databricks (PySpark/Delta Lake) for batch and streaming ETL, and providing technical training. Projects include Buildwise Azure event-driven data platform (Jan 2025 - Sep 2025), Memnon Audio Archiving Services high-volume media data platform (Apr 2023 - Feb 2025), and BlueHive real-time video data processing and AI integration (Apr 2023 - May 2026, part-time, on hold since May 2026).
Led and trained 6 ML/DL engineers, established engineering practices, and contributed to CI/CD and delivery of production AI systems. Built real-time video-to-JSON pipelines including Infrabel smart railway crossing, single-camera smart parking, and Jetson-based waste-dumping detection. Delivered sports-broadcast computer vision with SDI 1080i50 input/output at 25 fps on AWS and Azure ML.
Researched large-scale image/video indexing and retrieval with deep learning and Big Data / NoSQL platforms; GPU/TPU and energy-efficient processing.