Senior AI/ML Engineer

I am a Senior AI/ML Engineer with over 5 years of experience delivering production AI systems, including more than 2 years leading cross-functional teams of up to 15 members in client-facing environments. I specialize in building and scaling large language model (LLM) and retrieval-augmented generation (RAG) platforms, having successfully managed systems handling 2,000 requests per minute and over 20,000 daily messages. My work has significantly reduced onboarding costs by 96%, demonstrating my ability to deliver cost-efficient AI solutions.

My expertise includes developing high-performance NLP, OCR, and computer vision pipelines, achieving less than 50 ms OCR latency and 99.97% accuracy on biometric workloads involving 49 million images. I excel at translating complex business requirements into deployable AI solutions with measurable impact. I am fluent in English and open to relocating to Belgium to further my career.

Technically, I am proficient in Python and SQL, and skilled in machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn. I have extensive experience with transformers, LLM inference, RAG architectures, named entity recognition, OCR, and computer vision. I am also adept at data platforms including PostgreSQL, MongoDB, Elasticsearch, ChromaDB, and Milvus.

In terms of infrastructure and MLOps, I have architected Infrastructure as Code workflows using GitLab CI/CD and Ansible, automated provisioning of GPU clusters, and migrated monolithic systems to containerized microservices on AWS EC2 with SQS task queuing. I have implemented observability solutions using Prometheus, Grafana, and CloudWatch to monitor model drift and latency.

I have led the development of GenAI pipelines processing multimodal inputs to automate issue assignment, drastically reducing diagnosis times. Additionally, I have optimized open-source LLM deployments on NVIDIA RTX 5090 GPUs and engineered graph-based retrieval pipelines to handle massive knowledge bases with zero hallucination. My work on biometric AI systems includes fine-tuning face recognition models on large datasets and optimizing deep learning models for real-time edge deployment.

My freelance experience includes backend engineering for drone photogrammetry pipelines and developing automotive in-cabin AI systems with gesture and driver activity recognition. I am passionate about leveraging AI to solve complex real-world problems and continuously improving engineering productivity and system scalability.