NOV 2024 — PRESENT
WORK · EINDHOVEN
Embedded AI Engineer
VTEC Lasers & Sensors
Assistive-exoskeleton ML, followed by UAV perception workstream leadership. Data pipelines, real-time deployment, sensor integration and hardware verification.
COMPUTER VISION · EMBEDDED AI
Intelligence,
outside
the notebook.
I’m Walid. I turn visual and sensor data into AI systems that run on real hardware—from UAV perception to assistive technologies.
Eindhoven, Netherlands · Open to opportunities
MEET THE ENGINEEREINDHOVEN / NL
COMPUTER VISION · EMBEDDED AIWalid Bakadir
Connecting models to the physical world.
OPEN TO OPPORTUNITIESTRY THE VISION DEMO ↓
DATA → MODELHARDWARE → VALIDATION
01 / ENGINEERING MINDSET
A model is one part.
The system is the work.
I care about what happens after training: the sensor input, compute limits, timing, controller response, and the evidence that it all works together. My background connects computer vision and signal processing with hands-on embedded engineering.
2+years of professional
AI engineering experience
AI engineering experience
97%exoskeleton prediction accuracy
under evaluated conditions
under evaluated conditions
MScComputer Vision
& Signal Processing
& Signal Processing
02 / SELECTED WORK
From data
to working systems.
Real projects. Practical constraints.
Lessons from the complete pipeline.
03 / INTERACTIVE PLAYGROUND
Vision, live in your browser.
Try real YOLO detection.
Then ask a question about Eindhoven.
LIVE MODEL / YOLOv8 NANO
ONNX · BROWSER INFERENCEGive the model something to see.
Use your webcam, upload an image, or try my portrait. Images are processed on your device.
⌖
Ready when you are.
Choose an input to load the detector.
PRETRAINED MODEL · 80 OBJECT CLASSESLoading YOLO model…
MODEL NOT LOADED
—objects
—inference ms
—processed FPS
First use downloads the model (about 13 MB). Speed varies by device. This is a pretrained YOLO demo, not my custom UAV model.
Model source ↗Detection labels will appear here.
NATURAL LANGUAGE / REAL CITY DATA
LOCAL PARSER · LLM NOT CONFIGUREDChat with the map.
Explore Eindhoven, one question at a time.
EINDHOVEN / 116 NEIGHBOURHOODSCBS · 2024
Select a neighbourhood to explore its data.
Share aged 15–24 · low → high
YOUR QUESTION → A TRANSPARENT FILTER
What would you like to know?
“Young people” means ages 15–24. Rankings use shares, not estimated headcounts. Small or unreported populations are excluded by default.
04 / THE JOURNEY
A foundation in signals.
A focus on intelligence.
From automotive embedded systems
to AI in the physical world.
01 / EXPERIENCE
Professional experience
Industry work and hands-on internships.
APR — OCT 2024
INTERNSHIP · EINDHOVEN
Machine Learning Intern
VTEC Lasers & Sensors
Initial intention-detection prototypes using IMU and EMG data, preprocessing and feasibility evaluation for embedded inference.
MAR — JUL 2020
INTERNSHIP · KENITRA, MOROCCO
R&D Intern — Embedded Systems
Ibn Tofail University
Designed an automated parking prototype with Arduino, weight sensors and position sensors. Developed an OpenCV coin-detection component and 3D mechanical models for prototype validation.
MAR — JUL 2019
INTERNSHIP · ERRACHIDIA, MOROCCO
R&D Intern — Electronics
Renault–Dacia
Used OBD-II diagnostics and CAN-bus analysis to investigate vehicle electronic systems. Assisted with sensor calibration, integration and validation.
02 / EDUCATION
Education
The academic foundation behind my engineering work.
2021 — 2024
EDUCATION · DIJON, FRANCE
MSc, Computer Vision & Signal Processing
University of Burgundy
A technical foundation connecting image analysis, signal processing and machine learning.
2020 — 2021
EDUCATION · DIJON, FRANCE
BSc, Electronics & Computer Vision
University of Burgundy
2018 — 2020
EDUCATION · KENITRA, MOROCCO
BSc, Embedded Systems for Automotive
Ibn Tofail University
05 / THE TOOLKIT
The tools behind
the work.
Practical experience, grouped by purpose.
No invented proficiency scores.
Models & vision
Python
PyTorch
TensorFlow
Keras
OpenCV
YOLO- ByteTrack
scikit-learn
Hugging Face
Roboflow
Embedded & deployment
NVIDIA Jetson- TensorRT
- TensorFlow Lite
Raspberry Pi- Pixhawk
- MAVLink / PyMAVLink
C
C++
Data & software
Pandas
NumPy
MATLAB- SQL
Matplotlib
Power BI
Linux
Git
Docker
Flask
FastAPI
BUILDING NEXT
Deepening my understanding of vision transformers, 3D perception and cloud MLOps. My current expertise is strongest in applied vision and embedded deployment.
06 / QUICK QUESTIONS
A little more
about me.
Explore answers grounded in my experience.
CURATED PORTFOLIO Q&A · NO GENERATIVE AI
Hiking, fresh air and good company.
AI connected to real systems.
My work connects models with sensors and hardware. At VTEC, I developed real-time UAV detection and tracking on Jetson, and movement-intention inference for an assistive exoskeleton on Raspberry Pi. I take part in the entire loop: data, training, deployment, integration and validation.
07 / WHAT’S NEXT
Let’s build
something that works.↗
Looking for a Computer Vision, Machine Learning
or Embedded AI Engineer? Let’s start a conversation.