Detailed teardowns, architectural retrospective analyses, and technical deep-dives on backend scalability, distributed consensus, and AI systems in production.
When you build systems for government education ministries, you quickly learn that data in the wild doesn't look like tidy CSV files on Kaggle. In Nashaat, we were faced with …
When designing the data layer for the Nashaat analytics platform, the temptation to use a NoSQL document database like MongoDB was obvious on the surface: we had 13+ variable Excel …
In Sawtak, our graduation capstone project, we set out to build a decentralized, tamper-proof complaint reporting platform. The immediate architectural challenge was throughput: blockchain validator nodes running CometBFT consensus are …
When building BrandMinder, our initial prototype worked beautifully in development: one user asked a question, 4 AI agents ran sequentially in Python, and output appeared in 15 seconds. Then we …