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Passionate about developing AI-powered applications.
🗯️
Passionate about developing AI-powered applications.
23 followers · 15 following
  • 19:56 (UTC -12:00)

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Achievement: YOLOAchievement: Pull Shark

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devgomesai/README.md

👋 Hey there, I'm Jonathan Gomes!

| AI/ML Engineer | Cloud Enthusiast |

🚀 About Me

🎯 Passionate about building intelligent systems and scalable applications
💡 Focused on solving real-world problems with technology
📌 Experienced in AI/ML, Cloud Technologies, and End-to-End Automation

🧠 What I Work On

  • 🤖 Deep Learning
  • 🗣 Natural Language Processing (NLP)
  • ⚡ Automation Workflows
  • 🧩 Backend Systems & API Design
  • 🌩️ Cloud Deployments (AWS, Vercel)

🧑🏽‍💻 Tech Stack

💻 Languages & Frameworks

📚 ML & AI Tools

☁️ Cloud & Databases

🛠 DevOps & Automation

🌐 Let's Connect!

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  1. TubeTalk- TubeTalk- Public

    TubeTalk🎥 allows users to input a YouTube video URL and instantly access key insights. Along with watching the video, users can view an AI-generated summary and live chat replay, making it easier t…

    Python

  2. LTM-AI-Agent LTM-AI-Agent Public

    LTM-AI-Agent is an AI-powered chatbot with Long-Term Memory (LTM), enabling it to retain and recall past interactions. It uses SQLite for persistent storage and Pydantic AI to process conversations…

    Python 1

  3. Postgres-SQL-Agent-Langchain Postgres-SQL-Agent-Langchain Public

    Conversational SQL Query Assistant using LangChain This repository demonstrates how to build a Conversational SQL Query Assistant using LangChain's create_sql_agent. The assistant connects to a Pos…

    Python

  4. CineMate-AI-Movie-Recommender CineMate-AI-Movie-Recommender Public

    CineMate is an AI-powered movie recommendation app that helps you discover your next favorite movie based on your preferences! 💡🎥

    Python

  5. Firecrawl-Airbnb-MCP-Servers Firecrawl-Airbnb-MCP-Servers Public

    CustomeMCP (FireCrawl) + @openbnb mcps

    Python

  6. Smart-AgenticRAG Smart-AgenticRAG Public

    A dynamic Retrieval-Augmented Generation agent workflow built with LangGraph

    Python 1