Freelancer profile translated to English.
Back to original languageAbout Aliyasin
I am passionate about innovation and data science, a general engineer with a solid background in artificial intelligence acquired at Centrale Méditerranée and through applied research experiences at the Idiap Institute in Switzerland. I had the opportunity to apply my computer vision skills, notably contributing to a significant reduction in data processing time using advanced machine learning techniques for a railway company. My interest in AI continues to grow, and my recent projects focused on robotics, working on imitation learning solutions. I stand out for my ability to collaborate effectively with experts and industry professionals to develop innovative solutions. I am enthusiastic about leveraging my skills for innovation projects within your company and actively contributing to achieving your objectives.
French
Native or bilingual
English
Fluent
Can work on-site
Évian-les-Bains (up to 50km)
Experience
- Institut de recherche IdiapResearch in Robotics and Artificial IntelligenceSeptember 2023 - May 2024 (8 months)Martigny, VS, SwitzerlandImprove and evaluate an imitation learning agent named CLIPort, capable of learning a language-conditioned policy for various tabletop manipulation tasks.• Deep Learning: Experience in deep learning methodologies, including neural network architectures, Convolutional Neural Networks (CNNs), Transformers, and their application to tasks such as image recognition and natural language processing applied to robotics.• Artificial Intelligence Project Management: Managed end-to-end AI projects, from problem definition and data collection to model development, deployment, and continuous optimization. Utilized Agile and Scrum methodologies to ensure efficient project execution. (Deep Learning, Knowledge Graph, Natural Language Processing, ROS framework for robotics)
- Natural SolutionsData ScientistENVIRONMENTALJune 2023 - August 2023 (3 months)Nice, FranceDevelopment of a language processing algorithm to analyze articles and extract relationships between the environment and human activities, and implement them in a knowledge graph.Natural Language Processing (NLP):Design of NLP algorithms for linguistic information extraction. Use of libraries such as NLTK and spaCy, and integration of pre-trained models to improve language processing.(NLP, Deep Learning, Document Processing, Knowledge Graph)
- TSO Caténaires, groupe NGEData ScientistMarch 2023 - June 2023 (3 months)Nice, FranceAutomated processing by Artificial Intelligence of Lidar data, particularly 3D point clouds, for the detection and assessment of railway catenaries.• Machine Learning: Proficient in applying machine learning techniques to extract relevant features and information from complex datasets, using tools such as Scikit-learn and Pandas in Python.(Machine learning such as clustering, Deep learning for classification, and segmentation)
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Education
- Post-graduate in Data Science and Artificial IntelligenceCentrale Méditerranée2024Spécialisé en machine learning, deep learning, vision par ordinateur, traitement du langage naturel, prévision de séries temporelles, et big data.
- Doctorate in Engineering SciencesUniversity of Franche-Comté2015Acoustique