DivyanshuSarawat

Software Developer CSE(AI) Mind Mappr

B.Tech undergraduate in Computer Science with a specialization in Artificial Intelligence, building practical web products with clean interfaces, reliable engineering, and AI-aware product thinking.

Writing code that thinks like a product.

Divyanshu Sarawat is a B.Tech undergraduate in Computer Science with a specialization in Artificial Intelligence.

He works at the intersection of software development, product thinking, and interface design: turning ideas into usable digital systems that are structured, fast, and visually clear. His current work centers on Mind Mappr, a productivity platform shaped around notes, mind maps, tasks, and focused execution.

AIAcademic specialization
ANDROIDDevelopment focus
01Flagship project
  • Software Development
  • Android Development
  • Artificial Intelligence
  • Product Thinking
  • UI Engineering
I Build software that feels simple on the surface and serious underneath.

Code

Clean implementation matters because every product is only as strong as the logic, structure, and reliability beneath the interface.

AI

Artificial intelligence is most valuable when it solves real workflow problems instead of acting like decoration around a product.

Product

Useful software should reduce friction, make decisions easier, and give people a calmer way to think, organize, and create.

01

Mind Mappr

A productivity and thinking platform shaped around notes, mind maps, tasks, focus flows, and cross-platform consistency.

Flagship ProjectProductivity
02

Developer Profile

A personal web presence for presenting software work, technical focus, and a disciplined product-building style.

Personal SiteWeb
03

AI Learning Track

Academic and practical exploration of AI concepts, with an emphasis on applying intelligence to useful software systems.

B.Tech CSEAI
04

Product Systems

Interface patterns, structured workflows, and reusable components that make digital products easier to scale.

Focus AreaEngineering
Current

Software Developer

Building Mind Mappr and sharpening frontend, product, and AI engineering skills through real implementation work.

Education

B.Tech Computer Science Artificial Intelligence

Undergraduate study focused on computer science fundamentals, artificial intelligence, software systems, and applied problem solving.

Approach

Practical First

Prefers building usable products, testing real workflows, and improving details that make software feel dependable.

Build the next surface.

Share a project, collaboration, website brief, or product idea. The best conversations start with a clear goal, a rough timeline, and the problem the interface needs to solve.