Data Scientist · Assistant Professor

Hi, I'm Nitish.
I build simulations, digital twins, and AI for manufacturing.

Data Scientist at KMWE and part-time Assistant Professor at Eindhoven University of Technology. I work at the intersection of operations research, simulation, and machine learning — turning shopfloor data into decisions.

Nitish Singh
About

Bridging research and the shopfloor

I recently completed my PhD in Industrial Engineering at TU/e, where I worked on dispatching and scheduling algorithms for autonomous fleets in high-mix, low-volume manufacturing.

Today I split my time between two roles: as a Data Scientist at KMWE I build digital platforms, AI agents, and analytics tooling for daily production; as a part-time Assistant Professor in the AIMM group at EAISI, I research intelligent and interoperable shopfloors — Unified Namespace architectures and agentic AI for adaptive production.

What I'm doing now

Current roles

Assistant Professor (Part-time)
Eindhoven University of Technology
Oct 2025 – present · Eindhoven, NL

Research in the AIMM (AI-Enabled Manufacturing & Maintenance) group at EAISI on intelligent, interoperable shopfloors — Unified Namespace and agentic AI for adaptive production.

Data Scientist
KMWE, Brainport Industries Campus
Aug 2024 – present · Eindhoven, NL

Designing digital platforms, AI agents, and Power BI dashboards for production. Integrating data across ERP, MES, and shopfloor systems to drive Industry 4.0 adoption.

Latest notes

Writing

All notes
Research interests

What I work on

Simulation modelling Digital twins Deep reinforcement learning Quantitative methods Process mining Unified Namespace Agentic AI Lean Six Sigma (Black Belt)
Tools & technologies

Day-to-day stack

Python PyTorch AnyLogic SimPy Plant Simulation Gurobi SQL Java React Power BI