Hi, I'm Aman Sharma

Hi, I'm Aman Sharma—an AI and Data Science enthusiast who believes that the best way to learn is by building products that solve real-world problems.

I'm currently pursuing a Bachelor's degree in Electronics and Communication Engineering (ECE) at Arya College of Engineering & IT, Jaipur. Over the past few years, my curiosity has evolved into a deep passion for Artificial Intelligence, Data Science, Machine Learning, and building technology that creates meaningful impact.

My Journey

When I first started engineering, I didn't have everything figured out. Like many students, I was exploring different technologies and trying to discover where my interests truly belonged.

As I learned more about programming and data, I became fascinated by how AI could transform raw information into intelligent systems capable of solving real-world challenges. That curiosity soon became a habit. I began spending my time learning beyond the classroom through documentation, online courses, research papers, technical blogs, open-source projects, and hands-on experimentation.

Very early in my journey, I realized one thing:

Reading teaches concepts, but building teaches understanding.

That realization completely changed how I approached learning.

Instead of collecting certificates or completing tutorial after tutorial, I started turning every concept I learned into a project. Some projects failed. Some worked better than expected. Every one of them taught me something new.

Since then, my learning philosophy has remained simple:

Learn → Build → Break → Improve → Repeat.

Building Real Products

I enjoy creating products that solve genuine problems rather than simply demonstrating technical skills. Over time, I've worked on projects involving:

• Data Science & Machine Learning
• Generative AI & Large Language Models
• Natural Language Processing (NLP)
• AI Automation
• Data Analytics & Dashboards
• AI-powered Web Applications

One of the projects I'm most passionate about is DairyWalla, a digital ordering platform designed to simplify the workflow between dairy distributors and their customers. Building DairyWalla helped me understand that writing code is only a small part of product development. Understanding users, identifying real problems, iterating based on feedback, and continuously improving the product are what truly create value.

Every project I build reinforces the same belief:

Technology matters only when it solves a real problem.

Beyond Personal Projects

As I progressed in my own learning journey, I noticed that many students around me were asking the same questions I once had.

How do I start? What should I learn? How do I build real projects? How do I prepare for internships? How do I become industry-ready?

Instead of waiting for someone else to answer these questions, I decided to contribute. That idea eventually became NextGen Data Minds.

Building NextGen Data Minds

Today, I proudly co-lead NextGen Data Minds, a student-led AI, Machine Learning, and Data Science community that has grown to 850+ members.

Our vision is simple: To bridge the gap between academic learning and real industry skills.

Through the community, we organize learning initiatives, technical discussions, hackathons, project collaborations, research paper breakdowns, career guidance sessions, internship opportunities, and practical learning experiences that help students grow together.

One of our biggest ongoing initiatives is the 199-Day DSA Marathon—a long-term challenge designed to help students build consistency in problem solving instead of relying on short bursts of motivation. Every day follows a structured roadmap with carefully selected questions and learning resources, encouraging participants to improve one step at a time.

Watching hundreds of students commit to learning together has been one of the most rewarding experiences of my journey.

My Learning Philosophy

Technology evolves every day, and I believe continuous learning is the only sustainable advantage. For me, growth comes from:

• Building practical projects
• Solving challenging problems
• Reading documentation instead of shortcuts
• Learning from failures
• Taking feedback seriously
• Staying consistent over long periods

I don't believe success comes from knowing everything. I believe it comes from staying curious enough to keep learning.

What I'm Working On

Today, I'm focused on strengthening my expertise in:

Alongside technical growth, I'm also exploring product thinking, leadership, entrepreneurship, and community building because great technology creates the most impact when it's built for people.

Looking Ahead

My goal isn't just to become a better AI engineer. I want to build products that solve meaningful problems, contribute to the AI ecosystem, collaborate with talented builders, and create opportunities for students who are beginning their own journey.

Through NextGen Data Minds, I hope to build a platform where students, mentors, startups, and companies can collaborate on real-world challenges, learn together, and grow together.

At the end of the day, I don't measure progress by the number of certificates I've earned or technologies I've learned. I measure it by the problems I've solved, the people I've helped, and the impact I've been able to create.

And I'm just getting started.