Building production RAG pipelines and agentic LLM systems with LangChain & LangGraph — currently engineering AI features for a real estate intelligence platform in the UK.
- Currently working as an AI Engineer, building LLM-powered natural language search, comparative analysis, and report summarization features on Google Gemini
- Focused on agentic systems, RAG pipelines, and multi-model LLM architecture with LangChain / LangGraph
- B.Tech in Computer Science (Artificial Intelligence), Jamia Hamdard, New Delhi
- Open to AI Engineer / GenAI Engineer / LLM Engineer / ML Engineer / Applied AI Engineer roles
- Reach me at ahmad.syedareeb7@gmail.com
Languages
Python |
HTML |
CSS |
SQL |
GenAI & LLM Frameworks
LangChain |
LangGraph |
Gemini |
Hugging Face |
Unsloth |
ML & Data Libraries
Scikit-learn |
NumPy |
Pandas |
Matplotlib |
Seaborn |
Backend & Web
FastAPI |
Streamlit |
BeautifulSoup |
Databases, Vector Stores & Caching
PostgreSQL |
MySQL |
SQLite |
Redis |
Qdrant |
DuckDB |
Pinecone |
ChromaDB |
FAISS |
AstraDB |
MLOps & Monitoring
Docker |
GCP |
Actions |
Prometheus |
Grafana |
Development Tools
Git |
GitHub |
VS Code |
Selenium |
Jupyter |
Agentic stock market research assistant with multi-step reasoning over live financial data and automatic LLM failover.
RAG-based e-commerce support portal that answers product questions from real customer reviews with grounded, cited responses.
Real estate analytics platform with a price-prediction model (R² = 0.90) and a content-based property recommender.
More projects on my GitHub.
Open to AI Engineer / GenAI Engineer / LLM Engineer / ML Engineer roles — let's connect.


