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Losif01/README.md

Yousef Fawzi | DevOps & AIOps Engineer

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Machine learning models are useless if they can't scale, stay secure, or connect to the real world.

I build the robust infrastructure that turns theoretical AI into scalable, production-ready systems.

I specialize in MLOps pipelines, Infrastructure as Code (IaC), and Edge AI integrations. While data scientists train the models, I ensure those models are deployed seamlessly, monitored continuously, and connected to physical hardware without bottlenecks. From automating server deployments to writing zero-trust network protocols, I engineer environments where AI actually works.

What I Deliver

Area The Value I Bring Core Tech
MLOps & CI/CD Zero-downtime deployment pipelines that transition models from research to high-availability production environments. Kubernetes · Docker · Jenkins
Edge AI & IoT Bridging the digital and physical worlds by engineering hardware that streams real-time telemetry to AI backends. ESP32 · C++ · FastAPI
Secure Infrastructure Architecting self-healing, monitored, and automated private clouds that guarantee absolute data sovereignty. Terraform · Ansible · Tailscale
Data Engineering Architecting high-performance database schemas and APIs capable of handling intensive data ingestion. PostgreSQL · Redis · Python
github contribution grid snake animation

Skills & Technologies

ML & Data DevOps Computer Vision Agentic AI & LLMs IoT Languages Databases
































Penguin

Top Projects

Smart Palm Sensor and Edge Processing System (Graduation Project)

An IoT architecture designed to detect physical anomalies (insect activity) in agricultural environments through acoustic signal processing.

  • The Value: Translates raw environmental noise into actionable data, enabling automated pest control without manual inspection.
  • The Tech: Engineered the physical hardware layer utilizing the piezoelectric effect and an ESP32, coupled with a high-throughput FastAPI backend and PostgreSQL for telemetry ingestion.

Self-Hosted Zero-Trust Private Cloud

A fully autonomous, self-hosted infrastructure environment built to completely replace reliance on third-party public cloud providers.

  • The Value: Guarantees absolute data sovereignty, eliminates recurring hosting costs, and enforces strict security protocols through a customized VPN architecture.
  • The Tech: Deployed Nextcloud via Ansible for repeatable IaC configurations, secured network traffic using Tailscale, and established real-time observability using Prometheus and Grafana.

Lichess Opening Analyzer

A technical data-visualization engine built to analyze extensive chess game datasets for strategic advantages.

  • The Value: Automates the extraction of complex patterns from large datasets, converting thousands of moves into highly visual, strategic insights for competitive preparation.
  • The Tech: Leverages Stockfish for deep engine evaluations and surfaces analytics through a customized Streamlit dashboard.

Current Focus

  • Engineering highly optimized FastAPI microservices for low-latency AI model serving.
  • Expanding bare-metal server infrastructure and exploring advanced Kubernetes orchestration strategies.
  • Designing end-to-end continuous integration and deployment (CI/CD) automation to eliminate manual operational bottlenecks.

Profile Views

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  1. text-preprocessing-to-transformers-NLP-notes text-preprocessing-to-transformers-NLP-notes Public

    This repo is my personal notes from the Stanford NLP course, and i currently use it personally as a reference

    24 1

  2. imdb-movie-classifier imdb-movie-classifier Public

    Sentiment analysis project to correctly classify movie reviews, you can explore the project on gitlab too: https://gitlab.com/deep-learning-lc0/nlp/imdb-movie-classifier

    Jupyter Notebook 1

  3. Computer-vision-and-image-processing Computer-vision-and-image-processing Public

    personal vision notes, fallback is often to it

  4. Miki-the-tutor Miki-the-tutor Public

    A RAG application that helps you study, in this example it is helping you understand grokking algorithms, a well known book in SWE

    Python

  5. Orthodox-Clusteringfr Orthodox-Clusteringfr Public

    this project was done on a text dataset with labels about topics, the goal from this project is to make it as a small reference for myself about clustering and its metrics and reduction techniques.

    Python

  6. student-stress-monitor student-stress-monitor Public

    Jupyter Notebook