AI Automation | RAG Systems | AI Agents | Intelligent Workflows
Welcome to my AI-ENGINEERING-PORTFOLIO, a comprehensive showcase of projects, certifications, and educational resources focused on AI automation, intelligent agent design, and workflow engineering.
This portfolio demonstrates practical expertise in building, automating, and teaching modern AI systems using tools like LangChain, OpenAI, vector databases, and workflow orchestration frameworks.
To bridge the gap between AI theory and automation in practice - empowering engineers and learners to build, understand, and deploy intelligent systems.
Hands-on builds that highlight applied AI engineering principles in real-world use cases.
Projects include:
- AI Agents – autonomous assistants for automation and reasoning
- RAG Systems – retrieval-augmented generation pipelines for contextual understanding
- LLM Workflows – orchestrations that connect large language models with APIs and data tools
Each project folder includes:
- A problem overview
- Architecture diagrams & screenshots
- Implementation details
- Lessons learned / insights
A curated set of certifications verifying expertise in:
- AI Engineering & Automation
- Machine Learning & Data Science
- Applied LLM Frameworks (LangChain, OpenAI, CrewAI)
These serve as validated milestones of technical proficiency.
Educational content that demystifies key AI automation concepts.
Learn how to:
- Build and deploy AI Agents from scratch
- Create RAG Pipelines using embeddings and vector databases
- Design multi-step AI Workflows that integrate APIs and LLMs
These sections feature screenshots, architecture diagrams, and step-by-step breakdowns — making AI engineering accessible for all learners.
AI automation is transforming industries by merging intelligence with efficiency.
This portfolio highlights:
- How AI systems are built, deployed, and scaled
- Why RAG + agentic frameworks matter for real-world automation
- How to teach complex AI workflows clearly and effectively
Whether you’re a recruiter, developer, or AI enthusiast, this repository offers hands-on insight into modern AI engineering.
AI Engineering • AI Automation • AI Agents • RAG Systems • LLM Workflows • Prompt Engineering • LangChain • OpenAI • Vector Databases • Autonomous Agents • Workflow Automation • Machine Learning Engineer • Applied AI • Intelligent Systems • AI Portfolio