COMPUTER VISION/EDGE ML/SCIENTIFIC ML

ENGINEERING INTELLIGENT SYSTEMS

Applied AI &Systems Engineer

I build perception and autonomy systems that work under real-world constraints — combining computer vision, edge ML, and reliable real-time software.

Also building reproducible scientific ML tools and exploring physics-informed neural networks.

Vienna, Austria·Open to engineering opportunities
Portrait of Naveen Rajan
NAVEEN RAJANENGINEER · BUILDER
01 / BUILDING

Knowledge graph suite - Legal

A suite of tools that helps legal teams understand entity relations in large unstructured corpora

02 / EXPLORING

Perception & autonomy

Reliable visual perception, sensor fusion, and intelligent systems operating on constrained hardware.

03 / RESEARCHING

Physics Informed Neural Networks

Studying latent-space manifolds for solving under-determined family of industrial simulations with single PINN models

Built, tested, learned.

All projects

The navigation case study is being documented separately. Repository links above open the corresponding public projects.

Understanding systems by building them.

Notes on engineering reliable perception pipelines, running reproducible scientific ML experiments, and the trade-offs behind building intelligent systems that work outside a demo.

Explore writing

Have an interesting problem?

I'm interested in applied AI, computer vision, robotics, and engineering teams building technically ambitious products.