🎯 Summary

I’m Mohammed El Amine Bouchoucha , a dedicated software engineering student at the Ecole Nationale Supérieure d’Informatique , one of the most prestigious computer science institutions in Algeria. Set to graduate in 2026 , my academic journey is deeply intertwined with my passion for technology.

🎓 Education

Higher National School of Computer Science (ESI Algiers)

M.Sc. & Engineering in Software Engineering (2021 - Expected 2026)

  • Specialization: Software Engineering
  • Relevant Courses: Machine Learning, Software Architecture, Distributed Systems, Cloud Computing, Big data mining, Advanced Databases.

💼 Experience

AI Specialist

Full time Dec 2023 - Sep 2024

Deepminds Venture Builder

  • Developed AI-driven solutions for an influencer merchandise platform.
  • Developed RAG Appplications using Pinecone, Langchain, Vectara.
  • Built AI pipelines for Product creation using SOTA Image generation models and other models from Hugging face.
  • Technologies: Langchain, Mlflow, FastAPI.

🔧 Skills

  • Programming: Python, Java, JavaScript, C++
  • AI & Data Science: Pytorch, Pandas, NumPy, Scikit-learn, TensorFlow
  • Cloud & DevOps: Docker, Kubernetes, CI/CD, Linux
  • Web Technologies: FastAPI, Redis
  • Databases: Oracle, Pinecone, Vectara, PostgreSQL, MongoDB, Neo4j

🏆 Achievements

  • 🏆 Winner – DevFest24 Algiers Hackathon (March 2024)

    • Built a real-time factory monitoring system integrating AI-driven anomaly detection and IoT sensors, by Building a time series model using sarima ..etc adn we did some feature engineering where we compress time

  • 🏅 Finalist – Allam Challenge (Riyadh, Saudi Arabia) (2024)

    • Developed an AI-powered mobile app for Arabic language processing and learning.
    • Set up a RAG system with a full pipeline including prompt engineering optimization and evaluation.
    • Won an incubation of our idea in the ntdp MVP lab.

📜 Courses

  • CS231n: Deep Learning for Computer Vision - Stanford - Fei-Fei Li & Justin Johnson & Serena Yeung

📂 Projects

Deployment of Yolo on Raspberry Pi

  • Using onnx we deployed yolo 11 on rasberry pi integrated ith the rasp camera achieveing around 200 ms image processing time.

🗣 Languages

  • English: Fluent
  • French: Fluent
  • Arabic: Native

💡 Interests

  • Artificial Intelligence (Computer Vision, RL & LLM)
  • Cloud Computing & IOT