NP·NUHU PENG
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A GROWING ENGINEERING PRACTICEMUNICH, GERMANY · 48° N, 11° E

Hello, I’m Nuhu.

Curiosity.
Precision.
Forward.

From measuring the physical world to teaching machines to see. I’m studying Electrical Engineering and Information Technology at Technical University of Munich.

Explore my work View & download CV
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FIG. 01 / A STUDY IN CURIOSITYMEASURE · UNDERSTAND · ITERATE
ENGINEERING, IN PROGRESS
ELECTRICAL ENGINEERING & INFORMATION TECHNOLOGYThe journey so far
Sensing & measurement✳Computer vision✳Simulation & modelling✳Learning by building

01 / SELECTED WORK

Questions into
understanding.

A closer look at one project.
Real evaluation. Considered choices.

VISION / MODEL EVALUATION2026
Illustrative vehicle detection diagram, not a model predictionVEHICLE / DETECTION STUDYSCHEMATIC ILLUSTRATION
0.7687VALIDATION mAP50–95
04CONFIGURATIONS EVALUATED

TECHNICAL UNIVERSITY OF MUNICH / 2026

Seeing more.
Choosing carefully.

Vehicle detection & model evaluation with YOLO11

I compared four YOLO11 configurations to understand the trade-offs between detection quality and inference speed, then selected YOLO11s at 960 px.

PythonUltralytics YOLOJupyter
Inside the evaluation

Compared YOLO11n and YOLO11s at 640 and 960 px using precision, recall, mAP and inference speed.

Investigated false positives and missed detections with precision–recall and F1 curves, confidence thresholds, and ground-truth comparisons. Results were consolidated in a Jupyter Notebook.

The reported 0.7687 is validation mAP50–95 from the CV. It is not a production or independent test-set result.

02 / THE JOURNEY

Each experience,
a new lens.

An evolving practice across
software, simulation and the physical world.

MAR — MAY 2026BERLIN, GERMANY
03

GEIRI EUROPE GMBH

Understanding the physical world.

Sensor Technology and Measurement Intern

Tested thin-film force sensors under varying loads and temperatures. Used Python to analyse measurement deviations, temperature effects, hysteresis and response delays, and evaluated approaches to temperature compensation.

Sensor testingPython analysisMeasurement
AUG — SEP 2025HUNAN, CHINA
02

XIANGJIANG LABORATORY

Building worlds to ask better questions.

Technical Intern — Traffic Simulation & 3D Modelling

Edited and rigged vehicle models in Blender for CARLA simulations. Modelled a real-world intersection in SUMO and examined traffic signal timings using the Webster method.

BlenderCARLASUMO
APR — JUN 2023HUNAN, CHINA
01

TRUKING TECHNOLOGY LIMITED

A first look through machine vision.

Software Engineering Intern

Adjusted existing image-processing programs in MVTec HALCON, including grayscale thresholds and preprocessing for foreign-particle detection in liquid pharmaceuticals.

MVTec HALCONHDevelopImage processing

03 / A LITTLE ABOUT ME

A foundation in theory.
A habit of exploring.

My experience sits between sensing, computer vision and simulation. I’m building the technical foundations to connect what we can measure with what we can understand.

EDUCATION

Technical University of Munich

B.Sc. Electrical Engineering and Information Technology

OCT 2023 — PRESENT · IN PROGRESS

International School of Stuttgart

International Baccalaureate Diploma · 39/45

AUG 2020 — JUN 2022
THE CURRENT TOOLKIT
01 / PROGRAMMING

Python · C
MATLAB · VHDL

02 / VISION & MACHINE LEARNING

MVTec HALCON · Ultralytics YOLO
PyTorch · Jupyter

03 / TOOLS & SIMULATION

SUMO · CARLA · Blender
Vivado · Git

04 / LANGUAGES

Chinese Native
German C1   English C1

04 / WHAT COMES NEXT

The next chapter
starts with a conversation.

For engineering opportunities, project conversations,
or a thoughtful exchange of ideas.

nupe1031@gmail.com BASED IN MUNICH · CONNECTED BY CURIOSITY