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Schedule Interview NowMy name is Ayoub E. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Machine Learning, Python, R, Flask, etc.. I hold a degree in Bachelor's degree, Master of Science in Information Technology (MSc(IT)). Some of the notable projects I’ve worked on include: RAG application, Surveillance Home & Vehicle Security with AI!, AI sign lang, Extract room object with dimension (DL/ML), scrape job data, etc.. I am based in Marrakesh, Morocco. I've successfully completed 8 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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IBM Morocco
Text Processing: Extracts and cleans chunks of text from input files for embedding. Embedding Creation: Uses SentenceTransformers for generating high-quality embeddings and plans to integrate LLaMA for advanced contextual representation. Vector Storage: Leverages FAISS for efficient storage and retrieval of vector embeddings. Search Functionality: Enables semantic searches with relevance scoring to retrieve the most relevant text chunks for a given query.
🔹 Real-Time Monitoring: An intuitive Next.js frontend ensures seamless, live surveillance. 🔹 Robust Backend: Powered by Flask with API & socket-based communication for instant, reliable alerts. 🔹 AI-Driven Detection: Supports IP cameras with a remarkable 95% accuracy in identifying potential threats. 🔹 Optimized for Performance: AWS and Google Colab integration deliver fast, scalable processing in the cloud.
I'm excited to share a project I've been working on that combines machine learning and web development to create a real-time sign language recognition system. This system processes video input from YouTube URLs or a camera to recognize and translate sign language.
Utilized a deep learning model to take video input and accurately extract objects from the room. Built a machine learning model that predicts the dimensions of the extracted objects from the video data.
Develop and maintain web scraping systems to extract data from LinkedIn profiles, job postings, and company pages. Parse and structure scraped data for further analysis and processing. Implement data validation and quality checks to ensure accuracy and completeness. Design scalable solutions for handling large volumes of data efficiently. Set up data storage systems and databases for organizing scraped data. Ensure compliance with LinkedIn's terms of service and legal requirements. Monitor scraping processes and troubleshoot any issues or errors. Collaborate with cross-functional teams to understand data requirements and deliver insights. Prepare reports or summaries of scraped data as needed.
Bachelor's degree in
2018-01-01-2020-01-01
Master of Science in Information Technology (MSc(IT)) in
2021-01-01-2022-01-01