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bar6132/README.md

Hi there, I'm Bar Yael πŸ‘‹

πŸš€ Full Stack Engineer | Technical Product Manager | AI & Cloud Architecture

I act in a dual capacity to drive engineering and product strategy for high-traffic media platforms. With a background as an F-15 Crew Chief in the IAF, I bring a mission-critical, high-pressure mindset to distributed systems and production code.

  • πŸ’Ό Currently: Full Stack Developer & TPM at The Jerusalem Post Group (Walla!, Maariv, JPost).
  • πŸ“ˆ Impact: Recently engineered caching tools that reduced server load times by ~45% for millions of monthly users.
  • πŸ”­ Working on: High-availability microservices, Real-time publishing workflows, and Generative AI integration.
  • πŸ’¬ Ask me about: .NET 8 vs Python for backend, RAG Systems, and effectively bridging business goals with engineering specs.

πŸ› οΈ Technical Arsenal

Domain Stack & Tools
Backend & API C# / .NET 8, Python (FastAPI, Django, Flask), Node.js (NestJS), Microservices, gRPC
Frontend Next.js 14 (App Router), React.js, TypeScript, Tailwind CSS, Redux Toolkit
Data & Storage PostgreSQL, MongoDB, Redis, SQL Server, ElasticSearch, MinIO
DevOps & Cloud Docker, Kubernetes, AWS, RabbitMQ, Dapr, GitHub Actions (CI/CD)
AI & ML LangChain, OpenAI/Gemini APIs, Hugging Face, OpenCV, RAG Systems

πŸ“Š Featured Projects

🌩️ [StorageX] Distributed Video Transcoding System

A high-performance microservices platform for orchestrating video processing.

  • Architecture: Event-driven architecture using FastAPI and RabbitMQ.
  • Infrastructure: Orchestrates 7 Docker containers with MinIO (S3-compatible) for scalable object storage.
  • Tech: Python, Redis, Celery, FFmpeg.

πŸ€– [Project Maker Magician] AI-Powered Code Generator

A RAG (Retrieval-Augmented Generation) system transforming requirements into boilerplate code.

  • Core Logic: Uses LLMs to analyze documentation and generate production-ready project structures.
  • Integration: Built with LangChain and vector databases for context-aware generation.

πŸ“° [InsightStream AI] NewsPulse β€” AI-Powered Microservices Aggregator

  • Microservices-based news platform built with FastAPI, Flask, and Dapr.
  • Features Gemini AI for content summarization,
  • RabbitMQ for async messaging, and multi-channel notifications (Email/Telegram).

⚑ Professional Milestones

  • Performance Engineering: Engineered custom ImageLoader & Cache Control systems, boosting Core Web Vitals and cutting load times by 45%.
  • Scalability: Architected .NET 8 Web APIs supporting real-time publishing for major media outlets.
  • Leadership: Leading the technical roadmap for Walla! Sport, managing sprint cycles for video streaming and match data feeds.

LinkedIn β€’ Portfolio β€’ Email

Pinned Loading

  1. Project-Maker-Magician Project-Maker-Magician Public

    πŸ§™β€β™‚οΈ Project Maker Magician: An AI-powered software factory that converts Requirement PDFs into fully coded projects. Features a Multi-Agent architecture ("Architect" vs. "Builder"), separating hig…

    Python 2

  2. storagex storagex Public

    AI-powered distributed video platform using FastAPI, RabbitMQ, and Next.js 16. Features a local Generative AI pipeline (Llama 3.2 + Moondream) for video summarization, zero-hallucination analysis, …

    TypeScript 1

  3. AI-News-Aggregator-Microservices AI-News-Aggregator-Microservices Public

    Microservices-based news platform built with FastAPI, Flask, and Dapr. Features Gemini AI for content summarization, RabbitMQ for async messaging, and multi-channel notifications (Email/Telegram).

    Python 1