
Hanane Elkoh
@hananeelkoh
Machine Learning & Computer Vision Engineer at Inettech.io who deployed a YOLOv8 tire classifier on Google Cloud with over 90% accuracy.
What I'm looking for
At Inettech.io, I built and fine-tuned computer vision models for object detection and image classification, and designed data engineering pipelines for ingestion, transformation, and feature extraction.
For an AI/ML Engineer internship at Inettech.io (Machine-Vision.io), I developed a YOLOv8-cls tire classification system and deployed it through a FastAPI REST API on Google Cloud Platform with Docker. Hyperparameter tuning brought classification accuracy to over 90%.
At UM6P / MAScIR, I developed machine learning models for smart grid load forecasting and energy consumption prediction in Laayoune. I applied time-series analysis with LSTM and Transformer models and collaborated on data pipeline design and model deployment.
In personal projects, I led a three-person team developing a banking fraud detection system that achieved 99.1% accuracy, and developed an LSTM weather forecasting model with an automated retraining pipeline.
Experience
Work history, roles, and key accomplishments
Research Intern - Smart Grid & Energy Forecasting
UM6P / MAScIR
Feb 2026 - Jul 2026 (5 months)
Developed machine learning models for smart grid load forecasting and energy consumption prediction. Applied time-series analysis and deep learning to optimize energy demand planning.
Part-Time Data Scientist / Computer Vision Engineer
Inettech.io
Jan 2025 - Jul 2026 (1 year 6 months)
Built and fine-tuned computer vision models for object detection and image classification. Designed data engineering pipelines for ingestion, transformation, and feature extraction at scale.
AI/ML Engineer Intern
Inettech.io (Machine-Vision.io)
Jul 2025 - Aug 2025 (1 month)
Developed an intelligent tire classification system using YOLOv8-cls and deployed it via FastAPI on Google Cloud Platform with Docker. Optimized model performance to achieve over 90% classification accuracy.
Full-Stack Developer Intern
Digital Capital
Jul 2024 - Aug 2024 (1 month)
Developed comprehensive web systems using modern front-end and back-end technologies. Designed and implemented optimized relational databases for web applications.
Data Analyst Intern
Al Omrane
Jul 2023 - Aug 2023 (1 month)
Processed and analyzed large volumes of enterprise data to optimize business processes. Automated data processing workflows, reducing processing time by 30%.
Education
Degrees, certifications, and relevant coursework
Aivancity School for Technology, Business & Society
MSc, Data Engineering & Cloud Computing
2024 -
Pursuing an MSc in Data Engineering & Cloud Computing, expected to complete in 2026.
Institut Supérieur d'Ingénierie et des Affaires (ISGA)
Computer Engineering (5th year), Computer Engineering
2021 -
Completed the 5th year of Computer Engineering, with ongoing studies until 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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