Building Real-World Systems as a CSE Undergrad

Being a Computer Science undergraduate at IIITDM Jabalpur, I quickly realized that writing code that runs and building systems that scale are two very different things.

This blog marks the beginning of documenting that journey — from learning fundamentals to building production-grade systems in AI, backend engineering, and Web3.

Where It Started

Like most students, I began with:

• Data Structures & Algorithms
• Web development basics
• Small academic projects

But very early on, I felt something was missing.

I didn’t just want my code to pass test cases —
I wanted it to solve real problems, handle failures, and work under real constraints.

Learning by Building (and Breaking)

Everything changed when I started building end-to-end projects:

• TicketHub – A scalable event ticketing system handling concurrency, payments, and inventory consistency
• PaySwift – A production-grade payment gateway with webhooks and Dockerized deployment
• Gestura – An AI-powered real-time sign language translator (patent filed)
• VoteChain – A blockchain-based e-voting platform ensuring transparency and auditability
• WebClonePro – An AI-powered website cloning tool handling dynamic JavaScript content

These projects forced me to think about:

• Race conditions
• API design
• Latency vs accuracy trade-offs
• Security and reliability
• Deployment and monitoring

No tutorial teaches that better than things breaking at 2 AM.

Beyond Code: Communities & Exposure

Alongside building, I actively sought global exposure and mentorship:

• 🎓 Harvard WECode Scholar ’25
• 🌏 HPAIR Asia Delegate ’25 (Tokyo)
• 🧠 Google Launchpad Mentee ’25
• ☁️ Microsoft Code Without Barriers Mentee ’25
• 🏆 Flipkart GRID 7.0 National Semi-Finalist
• 💼 Infosys Springboard Intern & Bluestock SDE Intern

These experiences taught me how real engineers think — about impact, scale, and responsibility.

What This Blog Will Be About

This is not a tutorial dump.

Here, I’ll write about:

• 🛠️ System design decisions behind my projects
• 🤖 AI & ML learnings from real deployments
• 🔐 Backend & security lessons
• 🌐 Web3 experiments and failures
• 🎓 Student → Engineer transition insights

If something I build fails, I’ll write about it. If something works, I’ll explain why.

Closing Thoughts

I’m still learning — and that’s the point.

This blog is my way of documenting growth, sharing insights, and hopefully helping other students who want to go beyond “college-level projects” and build real software.

If you’re reading this and building something ambitious —
you’re already ahead of where you think you are 🚀

More posts coming soon.