I am an AI professional with a strong background in data engineering and machine learning. My passion lies in transforming complex datasets into intelligent systems that support automation and decision-making. I thrive in dynamic environments where I can apply advanced statistical and AI techniques to deliver impactful insights. Throughout my career, I've built scalable data pipelines and developed end-to-end ML solutions that drive innovation and efficiency.

Iman Darabi

I am an AI professional with a strong background in data engineering and machine learning. My passion lies in transforming complex datasets into intelligent systems that support automation and decision-making. I thrive in dynamic environments where I can apply advanced statistical and AI techniques to deliver impactful insights. Throughout my career, I've built scalable data pipelines and developed end-to-end ML solutions that drive innovation and efficiency.

Available to hire

I am an AI professional with a strong background in data engineering and machine learning. My passion lies in transforming complex datasets into intelligent systems that support automation and decision-making. I thrive in dynamic environments where I can apply advanced statistical and AI techniques to deliver impactful insights. Throughout my career, I’ve built scalable data pipelines and developed end-to-end ML solutions that drive innovation and efficiency.

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Experience Level

Expert
Expert
Intermediate

Language

English
Advanced
Dutch
Intermediate

Work Experience

AI Expert at JOZ, Westwoud
February 1, 2024 - July 1, 2024
Collected image-sequence data from barn environments to support AGV safety development. Built a self-supervised CNN+LSTM model to predict the next frame in a sequence for early hazard anticipation. Implemented custom loss functions on Keras, achieving a 90% SSIM, demonstrating high fidelity frame prediction.
Autonomous Systems Engineer at Research & Innovation Centre Techniek en Informatica (RIC-TOI), Alkmaar
November 1, 2019 - August 1, 2020
Analyzed raw sensor data to characterize noise profiles. Implemented advanced filtering techniques, optimizing navigation algorithms to ensure smooth autonomous drone flight, achieving 1-millimeter accuracy indoors despite noise.

Education

BS in Applied Mathematics and Data Science at INHOLLAND University of Applied Science, Amsterdam
November 1, 2018 - January 1, 2025
MSc in Artificial Intelligence at Utrecht University, Utrecht
September 1, 2025 - January 27, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet

Experience Level

Expert
Expert
Intermediate

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