Mohamed Hassani

is looking for a new team member.

Bis 2024, Software Engineer, Ofoto
Marrakech, Morocco

Skills

Python
SQL
Machine Learning
Oracle
MySQL
PyTorch
pandas
c lang
Software Development
Team work
Reliability

Timeline

Professional experience for Mohamed Hassani

  • 7 months, Jan 2024 - Jul 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 months, Jul 2023 - Dec 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 year and 2 months, Apr 2022 - May 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 months, 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.

Educational background for Mohamed Hassani

  • 2 years and 2 months, Sep 2019 - Oct 2021

    Computer Science

    Mohammed V University in Rabat

  • 10 months, Sep 2018 - Jun 2019

    Computer Science

    Ecole Supérieure de Technologie de Salé (ESTS)

  • 1 year and 10 months, Sep 2016 - Jun 2018

    Computer Science

    Ecole Supérieure de Technologie de Meknès (ESTM)

Languages

  • English

    Fluent

  • French

    Fluent

  • Arabic

    First language

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