About Me
I’m passionate about Linux and system management, with hands-on experience in optimizing and automating systems. I’m also deeply interested in cloud technologies like AWS and Azure, and enjoy working with tools like Kubernetes and Docker to build scalable solutions. Cybersecurity fascinates me, particularly ethical hacking and securing systems, while AI/ML excites me for its potential to solve complex problems through data and automation. I enjoy working in learning-driven environments, love tackling challenges, and am always eager to grow my skills and contribute to innovative projects.
Projects
Education
Tilak Maharashtra Vidyapeeth
BCA Cloud Computing & Cyber Security
2023 - 2026
The Bachelor of Computer Applications (BCA) is a 3-year undergraduate program that focuses on computer applications and software development. It covers programming languages, database management, web development, software engineering, networking, and computer fundamentals. The course blends theoretical knowledge with practical skills, preparing students for careers in IT and software industries.
To pursue a BCA (Bachelor of Computer Applications), candidates typically need to complete 10+2 or equivalent with Mathematics or Computer Science as a subject. Some institutions may require a minimum percentage (e.g., 50% aggregate) and conduct entrance exams or interviews for admission. The program is open to students from any stream (Science, Commerce, or Arts) with a basic understanding of mathematics and logical reasoning.
Skills
Operating Systems: Proficient in Linux system administration and troubleshooting.
Cloud Computing: Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and virtualization tools.
Cybersecurity: Knowledge of network security, vulnerability assessment, and secure system design.
Programming: Proficient in Python and SQL; familiar with C and Rust.
Databases: Experience with database management and query optimization using SQL.
AI/ML: Basic understanding of machine learning concepts and tools (e.g., TensorFlow, scikit-learn).
Tools: Familiarity with Git, Docker, and shell scripting.