Region's first AI property consultant. Built with advanced RAG models to help users find properties, answer real estatequeries, and provide personalized recommendations and advice.
Engineering & Projects
Open-source contributions and production-grade ML systems
Contribution Activity
Combined activity from personal and work GitHub accounts
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Intelligent listing generation system that uses AI to create compelling property descriptions, auto-filling listing details, speeding up time to post an ad, and enhance listing quality for sellers.
Property market valuation and analysis tool that generates data-driven price estimates and market insights for the UAE real estate market. Powers transparent, evidence-based valuations at scale.
Research Paper Explainer
Developed a specialized AI agent using Google's Agent Development Kit (ADK) that analyzes research papers and provides context-aware, detailed explanations of complex concepts. The agent features PDF analysis, interactive Q&A, and automatic generation of flowcharts and diagrams to enhance visual learning and accelerate comprehension of highly technical literature.
ADK Tutorials
Created a repository housing all my comprehensive tutorials that guide developers in using Google's Agent Development Kit (ADK) for advanced AI applications and deployment. The tutorials cover key DevOps and development skills, including deploying ADK agents using Docker/Docker Compose and implementing image upload and generation to build a functional AI logo generator.
Stock Market Analysis Agent
Engineered a sophisticated Stock Bot financial analysis system using Google's Agent Development Kit (ADK) to demonstrate a scalable Agentic AI Design Pattern for complex, real-world workflows.The system features a multi-agent architecture (Interface, Data Retriever, Summarizer) that integrates real-time stock data retrieval, market news analysis, technical indicators, and comprehensive investment report generation.
Skills
Core technical capabilities (plain list for people, search, and automated tools).
- Python
- R
- SQL and relational databases
- PyTorch
- TensorFlow / Keras
- scikit-learn
- OpenCV
- Image processing and computer vision
- Large language models (LLMs)
- Retrieval-augmented generation (RAG) and vector databases
- Google Agent Development Kit (ADK)
- Real-time, low latency, AI systems
- Hugging-Face Transformers, embeddings, and NLP (e.g. NER, classification)
- Elasticsearch and FAISS for retrieval
- Time series analysis and forecasting
- Meta Prophet
- Darts (time series)
- Regression, Ensemble methods (LightGBM, XGBoost, CatBoost)
- A/B testing and experiment design for ML products
- Predictive modeling and forecasting
- Apache Airflow (workflow orchestration)
- MLOps and ML model lifecycle management
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure
- FastAPI and Python backend services
- Docker and containerized deployments
- LangChain and LLM application patterns

