I build practical AI and data-driven solutions across Retrieval-Augmented Generation, Machine Learning, NLP, Data Analytics, and Business Intelligence.
My focus is on building systems that combine data, machine learning, LLMs, and measurable evaluation to solve practical problems.
- 🤖 AI / Machine Learning
- 🧠 Generative AI & LLM Applications
- 🔎 Retrieval-Augmented Generation (RAG)
- 🕸️ LightRAG & Knowledge Representation
- 📊 Data Analytics & Data Visualization
- 🐍 Python
- 🗄️ SQL
- 📈 Power BI
- 🗣️ NLP & Text Processing
- 👁️ Computer Vision
- ⚛️ React / Next.js
Research-focused RAG system using LightRAG for knowledge representation and retrieval, with systematic evaluation using RAGAS.
Highlights:
- 10 research-paper datasets
- 27 evaluation questions
- 4 RAGAS metrics
- 108 metric evaluations
- Final evaluation with zero missing metric values
- OpenAI GPT-4o-mini
text-embedding-3-small
Tech: Python • LightRAG • RAG • RAGAS • OpenAI • LLMs
Multimodal AI application combining multiple emotion-analysis approaches for context-aware wellness support.
Tech: Python • React • NLP • Machine Learning • Computer Vision • Deep Learning
Projects covering:
- Customer churn analysis
- Online retail sales analysis
- Restaurant data analysis
- Tableau / Power BI dashboards
- Exploratory data analysis
- Business insights and recommendations
- Retrieval-Augmented Generation
- LLM Applications
- AI Engineering
- Machine Learning
- Data Analytics
- Evaluation of AI systems
- Building practical AI solutions
Languages
Python SQL
AI / ML
Machine Learning Deep Learning NLP Computer Vision
Generative AI
RAG LLMs LightRAG RAGAS OpenAI
Data
Pandas NumPy Matplotlib Seaborn Power BI
Web
React Next.js JavaScript
Tools
Git GitHub Jupyter VS Code
I use GitHub to document projects, experiments, evaluation results, and reproducible implementations across AI, machine learning, and data analytics.
LinkedIn:
https://www.linkedin.com/in/syedshahed-ai
Email:
shahedsyed783@gmail.com
Fiverr:
https://www.fiverr.com/syedss07