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I am a dedicated deep learning and AI developer working extensively on embedded technology projects. Currently pursuing a PhD focused on developing innovative depth estimation models using advanced deep learning techniques and aiming to optimize these models for deployment on edge devices like Raspberry Pi. My experience spans the design, training, and deployment of bespoke deep learning models for scene perception and prediction. With a strong background in computer engineering and a passion for research, I have contributed to various projects including GAN-based super-resolution for MRI images, satellite disaster damage detection, and Bayesian neural networks for time series forecasting. I thrive in both academic and industrial environments, bringing robust problem-solving skills and technical expertise to innovative AI and embedded system applications.…I am a dedicated deep learning and AI developer working extensively on embedded technology projects. Currently pursuing a PhD focused on developing innovative depth estimation models using advanced deep learning techniques and aiming to optimize these models for deployment on edge devices like Raspberry Pi. My experience spans the design, training, and deployment of bespoke deep learning models for scene perception and prediction. With a strong background in computer engineering and a passion for research, I have contributed to various projects including GAN-based super-resolution for MRI images, satellite disaster damage detection, and Bayesian neural networks for time series forecasting. I thrive in both academic and industrial environments, bringing robust problem-solving skills and technical expertise to innovative AI and embedded system applications.

Chaouki ZIARA

AI Engineer, Data Scientist, Developer, +2

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I am a dedicated deep learning and AI developer working extensively on embedded technology projects. Currently pursuing a PhD focused on developing innovative depth estimation models using advanced deep learning techniques and aiming to optimize these models for deployment on edge devices like Raspberry Pi. My experience spans the design, training, and deployment of bespoke deep learning models for scene perception and prediction. With a strong background in computer engineering and a passion for research, I have contributed to various projects including GAN-based super-resolution for MRI images, satellite disaster damage detection, and Bayesian neural networks for time series forecasting. I thrive in both academic and industrial environments, bringing robust problem-solving skills and technical expertise to innovative AI and embedded system applications.…I am a dedicated deep learning and AI developer working extensively on embedded technology projects. Currently pursuing a PhD focused on developing innovative depth estimation models using advanced deep learning techniques and aiming to optimize these models for deployment on edge devices like Raspberry Pi. My experience spans the design, training, and deployment of bespoke deep learning models for scene perception and prediction. With a strong background in computer engineering and a passion for research, I have contributed to various projects including GAN-based super-resolution for MRI images, satellite disaster damage detection, and Bayesian neural networks for time series forecasting. I thrive in both academic and industrial environments, bringing robust problem-solving skills and technical expertise to innovative AI and embedded system applications.

Available to hire

I am a dedicated deep learning and AI developer working extensively on embedded technology projects. Currently pursuing a PhD focused on developing innovative depth estimation models using advanced deep learning techniques and aiming to optimize these models for deployment on edge devices like Raspberry Pi. My experience spans the design, training, and deployment of bespoke deep learning models for scene perception and prediction.

With a strong background in computer engineering and a passion for research, I have contributed to various projects including GAN-based super-resolution for MRI images, satellite disaster damage detection, and Bayesian neural networks for time series forecasting. I thrive in both academic and industrial environments, bringing robust problem-solving skills and technical expertise to innovative AI and embedded system applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Raspberry Pi

Intermediate

Work Experience

Research Intern – Computer Vision & Deep Learning at Institut National des Sciences Appliquées (INSA)

November 18, 2023 - August 28, 2025

Investigated novel architectures for depth estimation contributing to development of DepthHist with a histogram-based soft-binning approach. Designed and evaluated augmentation techniques to densify sparse LiDAR depth maps, reducing sparsity from 80% to 20% while preserving geometric consistency. Implemented and benchmarked end-to-end deep learning pipelines using PyTorch on KITTI and NYUv2 datasets.

Freelancer - Deep Learning and AI Developer at Fiverr

July 1, 2022 - Present

Designed, trained, and deployed bespoke deep learning models using TensorFlow and PyTorch for scene perception and prediction. Developed a GAN-based data augmentation pipeline, improved robustness through systematic testing and tuning, managing full project lifecycle from data preprocessing to documentation. Delivered projects including multi-modal training for visual embeddings, GAN-based MRI image super-resolution, satellite image disaster detection, and Bayesian neural networks for forecasting.

Python Developer - Simulation Systems at MA21 for Ind. Computing

June 30, 2022 - August 28, 2025

Engineered data-intensive simulation modules for industrial processes using NumPy and Pandas. Developed Qt-based visualization toolkit for real-time sensor data analysis and optimized matrix operations achieving 45% faster flux simulations.

Data Acquisition Engineer at Halliburton Energy Services

January 31, 2021 - August 28, 2025

Designed and maintained high-frequency acquisition systems (10K+ data points/sec) for well testing, with real-time validation to ensure data integrity. Developed interactive dashboards and automated reports transforming raw sensor data into actionable insights for engineering and management decision-making.

Reserve Officer at Algerian National People’s Army

February 28, 2019 - August 28, 2025

Served as reserve officer at Algeria’s largest military academy completing advanced leadership and operational training. Coordinated training activities and supervised cadet teams during field exercises, developing resilience, teamwork, and organizational skills for high-pressure environments.