Open to opportunities

Saurabh Band

@saurabhband

Message

I build reliable embedded IoT systems with Edge AI fault detection.

Germany

Message

What I'm looking for

I'm looking to build reliable embedded and IoT products end-to-end, combining hardware-software architecture, wireless systems, and Edge AI. I value technical ownership, cross-disciplinary collaboration, and opportunities to mentor others.

I've owned end-to-end IoT sensor-node projects at the University of Bremen, from requirements and component selection through hardware-software integration and validation.

My PhD focused on runtime fault detection for resource-constrained IoT devices. I designed lightweight ML-based anomaly detection for real-time sensor data on microcontrollers and published VarLogger in ACM Transactions on Internet of Things.

I also co-supervised four Master's projects to completion, planned project resources and budgets, and delivered multi-protocol wireless systems using LoRa, Bluetooth, and WiFi.

Experience

Work history, roles, and key accomplishments

Research Associate

University of Bremen

Nov 2021 - Jun 2026 (4 years 7 months)

Managed multiple concurrent projects spanning technical direction and program coordination. Owned technical decisions for sensor-node hardware/software design and integration, including multi-protocol wireless communication. Co-supervised 4 Master's students, all completing successful theses. Designed and validated lightweight ML-based anomaly detection methods for real-time sensor time-series dat

Education

Degrees, certifications, and relevant coursework

University of Bremen

Doctor of Engineering, Electrical Engineering

2021 - 2026

Grade: Magna cum laude (1.0)

Pursued a Dr.-Ing. (Ph.D.) in Electrical Engineering, focusing on runtime fault detection for resource-constrained IoT devices. Graduated with Magna cum laude (1.0).

Chemnitz University of Technology

Master of Science, Embedded Systems

2018 - 2021

Grade: 2.0

Completed a Master of Science in Embedded Systems with a thesis on unsupervised domain adaptation for object detection with YOLO. Achieved a GPA of 2.0.