Stuti Nayak
Stuti Nayak

Stuti Nayak

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.

What I Build

Skills

Selected Systems

Food QA Retrieval System

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Production-style Q&A API using Retrieval-Augmented Generation with document chunking and vector indexing.

PythonFastAPILangChainRAGTransformers

NLP Classification Pipeline

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BERT/BERTopic multi-label classification; RoBERTa sentiment analysis pipeline deployed on AWS.

PythonPyTorchTransformersAWS

Streaming Data Pipeline

IoT simulation pipeline using Kafka ingestion, processing layer, and ML analytics on Google Cloud.

PythonKafkaMLFlowGCP

Churn Prediction

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End-to-end ML project predicting customer churn for a telecom company with EDA and model deployment.

PythonScikit-learnPandasSQL

Experience

Data Engineer The Hague · Current

Built Kafka-based IoT simulation pipeline and secure streaming architecture with data governance.

Data Scientist, Knownwell The Hague · Feb 2024 – Jul 2024

NLP classification using BERT / BERTopic; RoBERTa sentiment analysis; deployed on AWS and GCP.

Data Scientist, Rate.nl Rotterdam · Aug 2021 – Sept 2023

wav2vec 2.0 audio analysis; MLFlow MLOps pipeline; Google Cloud deployment.

Researcher, Clinical Data Science, Maastricht University Sept 2019 – Aug 2020

Vantage federated learning infrastructure; semantic data modeling.

Research Assistant, Institute of Data Science, Maastricht University Jul 2017 – Feb 2019

Deep learning models for biomedical metadata; CNN achieved 83% accuracy.

Toolkit

ML / AI
Python · PyTorch · Transformers · LangChain · RAG · MLFlow · Scikit-learn
Data
Kafka · SQL · Pandas · FastAPI · Gradio
Cloud
AWS · GCP

Education

M.Sc. Data Science in Decision Making Maastricht University, Netherlands
B.Tech. Information and Communication Technology DA-IICT, India

Outside Work

Contact

I'd love to chat. Reach me over email or LinkedIn about a role, a project, or just ML.