Worked on startup growth strategies, product research, user analysis, and feature discussions while collaborating with early-stage development initiatives.
Selected through university internship program for community outreach, awareness programs, and development initiatives focused on real-world impact.
2025 – 2029
Focused on software engineering, development, AI, programming, and modern computing systems.
Achieved 89.83% with strong academic performance in Physics, Chemistry, and Mathematics.
Developed an LM358 and Logic Gates based digital electronics system using LDR sensors for obstacle and intruder detection with LED indication.
Comparative Analysis of Execution Efficiency and System Accessibility in Native and Browser-Based Runtime Environments.