Food QA Retrieval System
View →Production-style Q&A API using Retrieval-Augmented Generation with document chunking and vector indexing.
ML Engineer · Data Engineer
The Hague, Netherlands · Open to roles NL / EU
Building production ML systems, NLP pipelines, and LLM-powered applications integrated with real-world data pipelines and cloud infrastructure.
Production-style Q&A API using Retrieval-Augmented Generation with document chunking and vector indexing.
BERT/BERTopic multi-label classification; RoBERTa sentiment analysis pipeline deployed on AWS.
IoT simulation pipeline using Kafka ingestion, processing layer, and ML analytics on Google Cloud.
End-to-end ML project predicting customer churn for a telecom company with EDA and model deployment.
Built Kafka-based IoT simulation pipeline and secure streaming architecture with data governance.
NLP classification using BERT / BERTopic; RoBERTa sentiment analysis; deployed on AWS and GCP.
wav2vec 2.0 audio analysis; MLFlow MLOps pipeline; Google Cloud deployment.
Vantage federated learning infrastructure; semantic data modeling.
Deep learning models for biomedical metadata; CNN achieved 83% accuracy.
I'd love to chat. Reach me over email or LinkedIn about a role, a project, or just ML.