Data Engineering and Science - GenAI-Driven SDLC : Generate React UI Code (2025)
- GenAI-Driven SDLC (2025)
- System Design: Food Delivery System (2025)
- Algorithm Interview by Example: Process (2020)
- Algorithm Interview by Example: Random Selection (2020)
Drafts
- System Design: Food Delivery System, Proximity Search (2025)
- Location Update to Redis (Redis, multi-thread motion simulation of delivery agents, Python)
- NNQ: Uber H3 Spatial Index Jupyter Notebook (Uber H3, Folium, Python)
- NNQ: R-Tree vs H3 Index Jupyter Notebook (DuckDB, R-Tree, Uber H3, Pandas, Folium, Python, SQL,…)
- Note: Distance calculation between spatial points (locations) (DuckDB,PostGIS, SQL, Python)
- Note: ElasticSearch for Nearest Neighbour Query / Proximity Search (Elasticsearch, NNQ, Python)
- Chat with your book (LLM with RAG) (streamlit, LangChain, OpenAI) (2025)
- Open API: Adding summary of history to context (Prompts for role: user and assistant) (2025)
- Open API: Classification (utilize prompts of user-assitant for sample-label) (2025)
- Open API: F(dietary restrictions, cuisine, available ingirendients) => Recipe (2025)
- Open API: Recipes enhanced with Model Context Protocol (MCP) to pull in external trusted data (2025)
- Java Streaming API Example (2025)
- Algorithm Interview by Example: Reduction (2025)
- Prompt Engineering practices with Claude (2025)


