Nitish
Aggarwal.

Understand the workflow deeply. Then digitise the sharpest version of it.

I sit inside Riedel's Digital Transformation department, where the job is to take decades-old enterprise workflows — pricing, product data, IT support, documentation — and turn them into crisp digital products people actually want to use. AI is one tool in that box; the real work is change management, data plumbing, and killing the swivel-chair between SAP, Salesforce and a hundred spreadsheets.

I spent four years as a founder before that — hiring cooks, negotiating leases, keeping guests happy, watching the P&L. That's where I learned a product is never just the product; it's the operations, the emotions, and the trade-offs around it.

I bring that operator instinct into every transformation project. I write the PRD, defend the roadmap, pick the cloud, ship the pilot, run the hypercare, and prove the ROI. Gen AI is the current chapter — but the job is the same one I've always loved: turn a messy real-world workflow into something digital, measured, and 10× faster.

My range is unusual on purpose. Engineering rigor from RWTH Aachen. Product taste from shipping AI at Riedel across three clouds. Operator scars from running a four-outlet F&B brand through a pandemic. Data instincts from the Cognizant and Boehringer Ingelheim years — anomaly detection, explainable AI in healthcare, SHAP-based interpretability. Different rooms, same discipline.

I care about the boring parts of transformation too — the data warehouse behind the dashboard, the CI/CD behind the model, the change-management behind the rollout. A demo is easy; adoption is the actual product. I obsess over the workflow the user does on a bad Tuesday, not the one in the slide deck.

Outside work you'll find me on long walks around Düsseldorf, debating gelato flavors, over-optimizing my coffee routine, or nerding out on how a well-run kitchen and a well-run product team are basically the same system.