I’m a third-year Computer Science student at LNCT Bhopal who enjoys building things through code and understanding how systems work internally. I’ve solved 300+ DSA problems and, essentially work with C, C++, and Python, with a strong foundation in Object-Oriented Programming (OOPs) and core programming fundamentals.
Recently, I’ve been focusing on Frontend Development, building responsive and user-friendly interfaces using HTML5, CSS3, JavaScript (Vanilla), and Bootstrap. I enjoy transforming ideas into real-world UI experiences that are both functional and visually structured. I also have hands-on experience working with REST APIs, integrating external data and understanding how real-world applications communicate.
On the data side, I’ve worked with NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualization. My academic learning spans Operating Systems, DBMS, and Computer Networks, helping me understand how software and communication layers interact. I work with SQL, MySQL, and MongoDB for databases and use Git & GitHub for version control and collaboration.
Beyond academics, I serve as a Microsoft Learn Student Ambassador, where I organize technical events, engage with developer communities, and help peers grow in tech. Driven by curiosity and consistency, I aim to learn, build, and create solutions that make a real impact: one line of code at a time.
C++
Object-Oriented Programming (OOPs)
Data Structures & Algorithms
Python
NumPy
Pandas
Matplotlib
Seaborn
Problem Solving
JavaScript (Vanilla)
API Handling (REST APIs)
Git & GitHub
Linux
Operating Systems
Computer Networks
Database Management Systems
Databases: SQL, MySQL, MongoDB
HTML, CSS, Bootstrap
Microsoft
Recognized for leading technical communities, organizing events, and promoting cloud & developer technologies.
Microsoft Learn
Hosted cloud learning events and enabled participants to explore Azure cloud technologies.
Microsoft
Demonstrates foundational knowledge of cloud concepts, Azure services, pricing, security, and governance.
Amazon Web Services
Learned data pipelines, ETL workflows, storage solutions, and scalable cloud data architectures.
Amazon Web Services
Covers ML concepts, model training basics, and real-world AI application workflows on AWS.