Skip to content

TheDataArtisanDev/ai-engineering-portfolio

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

11 Commits
Β 
Β 
Β 
Β 

Repository files navigation

Yaseen Shaik

Senior Data Engineer | Building Gen AI Applications

Building RAG systems, LLM agents, and AI-powered data tools.

LinkedIn Email


πŸš€ Projects

πŸ€– AI Data Analytics Agent

Text-to-SQL system with production monitoring

Problem: Business users need to query data without writing SQL
Solution: Natural language interface powered by GPT-4 with LangGraph orchestration

Tech Stack: Azure OpenAI GPT-4 β€’ LangGraph β€’ DuckDB β€’ Prometheus β€’ Grafana

Key Features:

  • Natural language to SQL conversion
  • CSV/Excel file analysis capability
  • Real-time performance monitoring
  • Complete observability stack with metrics

πŸ“‚ View Repository


πŸ“š Gen AI Experiments

Hands-on implementations exploring LLM capabilities

Experiments:

  • RAG Systems: ePub, PowerPoint, PDF, Word document processing with FAISS
  • LLM Output Structuring: Using Pydantic for structured responses
  • Function Calling: Dynamic weather chatbot with tool use
  • Context-Aware Chatbot: E-commerce assistant with memory and chains

Tech Stack: FAISS β€’ LangChain β€’ Azure OpenAI β€’ Pydantic β€’ Vector Embeddings

Focus: RAG patterns, structured outputs, function calling, memory management, chunking strategies

πŸ“‚ View Repository


🏨 Multi-Agent Hotel System

LangGraph workflow orchestration

Problem: Complex agent coordination and state management
Solution: Multi-agent workflow system using LangGraph

Tech Stack: LangGraph β€’ Azure OpenAI β€’ MySQL β€’ RAG Integration

Key Features:

  • Multi-agent communication patterns (booking, housekeeping, customer service)
  • Shared state management across agents
  • RAG-enhanced response generation
  • Complete workflow orchestration with Streamlit UI

πŸ“‚ View Repository


πŸ”§ CrewAI SQL Assistant

Multi-agent SQL generation and validation

Problem: Secure SQL generation with validation
Solution: Multi-agent system using CrewAI framework

Tech Stack: CrewAI β€’ Azure OpenAI β€’ Multi-agent orchestration

Key Features:

  • SQL generation agent
  • SQL validation agent
  • Security compliance checking
  • Cost monitoring

πŸ“‚ View Repository


πŸ› οΈ Technology Stack

Generative AI: LangChain β€’ LangGraph β€’ CrewAI β€’ Azure OpenAI β€’ FAISS β€’ Pydantic
Data Engineering: Python β€’ PySpark β€’ DuckDB β€’ SQL
Monitoring & DevOps: Prometheus β€’ Grafana β€’ Docker β€’ Terraform
Databases: MySQL β€’ Vector Databases


πŸŽ“ Certifications


πŸ“ Note

Learning projects and proof-of-concepts exploring generative AI applications. For my professional background, visit my LinkedIn profile.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors