- π¦ I'm an Industrial and Software Engineer with a growing focus on Artificial Intelligence, Machine Learning, and Automation
- π» The languages I use the most: Python, C#, .NET, SQL, JavaScript, React
- π€ I build AI-powered systems using tools like:
Azure Cognitive Services
,OpenAI API
,Prompt Engineering
,Semantic Kernel
,CrewAI
,Autogen
,LangChain
- π Recently earned the Google Data Analytics Certificate
- π― Currently building multi-agent AI workflows, RAG apps, and custom API pipelines
- π¬ Ask me about: AI/ML systems, backend automation, RAGs, prompt design, or startups
- π In my free time, I read sci-fi, work out, travel, or dance Zumba π
- β‘ Fun fact: Hablo EspaΓ±ol
I'm constantly exploring how to apply cutting-edge tools and frameworks to solve real-world problems. Some highlights:
- π€ Multi-Agent Systems: I design agent-based workflows using Autogen and CrewAI for tasks like automated blog generation, SEO review, and structured decision-making. (AI-Agent-Orchestrator)
- π Document-Aware Chatbots: Built a ChatGPT-like app using RAG (Retrieval-Augmented Generation) with Semantic Kernel and Azure Cognitive Services. (RAG-App-HackTogether)
- π Data Extraction Pipelines: Created tools for processing scanned documents using Form Recognizer and Python.
- π API Automation: Developed backend APIs using Node.js, .NET, and deployed them in the cloud (Azure & Google Cloud).
- π Prompt Engineering & LLM Ops: Skilled in building reliable, context-aware AI apps that use prompt engineering and RAG to deliver tailored responses.
π I also completed the Google Data Analytics Certificate, reinforcing my ability to clean, analyze, and visualize data to drive insights.
π§ I'm currently diving deeper into LLM orchestration, vector databases, and automated pipelines for end-to-end intelligent systems.
Check out some of my pinned repositories:
- AI-Agent-Orchestrator: Autonomous AI agent system using Autogen for blog generation & SEO review
- RAG-App-HackTogether: RAG chatbot with Semantic Kernel + Azure AI, powered by C#
- FormRecognizer: Document extractor using Azure Cognitive Services
- leads-api: Node.js API for lead distribution, deployed on Google Cloud
- coffeeWebAPI: .NET 7 WebAPI for a coffee store β
- AutoTracker: Car maintenance tracking tool using NHTSA data
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β³ Year Progress { ββββββββββββββββββββββββββββββ } 29.60 % as on β° 18-Apr-2023
β¨ Let's connect and build smarter systems together!