AI
Building Your First AI Agent: A Practical Guide
A comprehensive guide to creating AI agents that can reason, use tools, and solve complex tasks autonomously.
Full Stack Developer turned AI Engineer, currently exploring the fascinating world of AI Agents, Large Language Models, and building intelligent systems that solve real-world problems.
I'm a passionate technologist with a journey that spans from traditional full-stack development to the cutting-edge world of Artificial Intelligence.
Currently working at Cisco Systems as a Full Stack Developer, I'm deeply invested in learning and building with AI technologies. My recent focus has been on AI Agents, Large Language Models (LLMs), and exploring how these technologies can transform the way we build software.
My academic background includes a Masters in Software Engineering from University of Houston Clear Lake, where I developed a 3D Facial Recognition System using Microsoft Kinect. I've always been drawn to innovative technologies and love the challenge of learning new things.
Beyond code, I'm an award-winning Scout (President Award from late Dr. APJ Abdul Kalam) and a passionate photographer who loves capturing moments and exploring the world through my lens.
Exploring AI Agents, LLMs, and intelligent systems
Java, JavaScript, React, Spring, and modern web technologies
Capturing moments and telling visual stories
Building an intelligent conversational AI chatbot from scratch using Large Language Models. The chatbot features context-aware conversations, memory management, multi-turn dialogues, and integration with external tools and APIs. Focused on creating a production-ready chatbot with RAG (Retrieval Augmented Generation) capabilities.
Master's thesis project: Developed a novel facial recognition system using Microsoft Kinect 3D camera, combining 2D and 3D pixel data for enhanced accuracy.
E-commerce platform enabling global dealers and end-users to place and estimate orders. Handles large-scale SKU browsing and order management.
Published research on a novel web-based version control system. Developed during undergraduate studies to simplify collaborative development.
Deep diving into LLM architectures, fine-tuning, and prompt engineering
Building autonomous agents with tool usage and reasoning capabilities
Exploring deployment, monitoring, and scaling of ML systems
Working with embeddings and semantic search for AI applications
A comprehensive guide to creating AI agents that can reason, use tools, and solve complex tasks autonomously.
Exploring how vector databases enable semantic search and power modern AI applications with embeddings.
Reflections on transitioning from traditional software development to AI engineering and the lessons learned along the way.
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