
Mohamed Hassani
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Mohamed Hassani
- 7 Monate, Jan. 2024 - Juli 2024
Software Engineer
Ofoto
Architected and implemented scalable image generation platform for client exhibitions with over 200% improvement in visitors retention. • Developed full-stack solution including backend services, visitors info acquisition, GUI applications, and RESTful APIs. • Integrated computer vision for gesture control, enhancing user interaction. • Implemented cloud-based image delivery and processing pipeline. • Tech: Python, PyTorch, PyQt, OpenCV, FastAPI, RESTful APIs, QR codes, Cloud services, Git
- 6 Monate, Juli 2023 - Dez. 2023
QA Analyst
AdVon Commerce
• Created High-Quality Training Data: Generated precise and comprehensive training datasets to enhance the performance of LLM Agents models. • Reviewed Agents Outputs: Conducted thorough reviews of generated outputs to identify inaccuracies, improve error rates, and ensure the relevance of information. • Ensured Adherence to Annotation Guidelines: Strictly followed detailed annotation protocols to maintain consistency and accuracy in training data.
- 1 Jahr und 2 Monate, Apr. 2022 - Mai 2023
ML Engineer
Beewant
Led development of multiple computer vision projects from conception to production, with accuracy over 90% and few milliseconds responses. • Designed and deployed efficient high fidelity OCR and visual search systems with with accuracy over 90% and few milliseconds responses. • Developed and optimized data processing pipelines for large-scale image and text datasets for models training and evaluating. • Created RESTful APIs for model serving using FastAPI, Docker, AWS and Torchserve.
- 6 Monate, Apr. 2021 - Sep. 2021
Data Science Intern
Peaqock
• Collection data on mental health discussions by scrapping from public websites. • Experimenting with extracting data from podcasts on mental health. • Building training datasets for different models. • Experimenting with different language models for generating natural responses. • Fine-tuning Hugging Face Conversational AI and DialoGPT for mental health support conversations. • Using rule-based Rasa model for conversation orchestration. • Deployment of the application as experimental API on GCP.
Ausbildung von Mohamed Hassani
- 2 Jahre und 2 Monate, Sep. 2019 - Okt. 2021
Computer Science
Mohammed V University in Rabat
- 10 Monate, Sep. 2018 - Juni 2019
Computer Science
Ecole Supérieure de Technologie de Salé (ESTS)
- 1 Jahr und 10 Monate, Sep. 2016 - Juni 2018
Computer Science
Ecole Supérieure de Technologie de Meknès (ESTM)
Sprachen
Englisch
Fließend
Französisch
Fließend
Arabisch
Muttersprache
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