“Curiosity is the starting point; building is how I test what it can become.”
I am a B.Sc. (Hons.) AI & Data Science student at IAR University and completed a one-month Python Developer Internship at Codec Technologies Pvt. Ltd. (September–October 2026). During the internship, I engineered two primary project submissions: VisionSphere and SentiVision-AI. My interests extend across software development, computer vision, sentiment analysis, scientific enquiry, and educational product concepts. Driven by curiosity, I focus on turning ideas into functional, testable code.
My academic foundation began in the PCB (Physics, Chemistry, Biology) stream, where I developed a keen interest in systems, medicine, and scientific analysis.
As I realized that computational tools can transform how we explore complex problems, I made a deliberate transition into Artificial Intelligence and Data Science at IAR University.
I build software primarily in Python, creating backend services, RESTful endpoints, and computer vision pipelines.
Alongside Python, I work with SQL, JavaScript, HTML5 and modern CSS, continuously expanding into systems programming in C and reactive web engineering.
From 27 September to 27 October 2026, I completed an intensive industrial training internship at Codec Technologies Pvt. Ltd.
The program demanded the independent engineering of two end-to-end applications: VisionSphere (an explainable image recognition web application with Grad-CAM heatmaps) and SentiVision-AI (a multimodal sentiment and facial emotion analysis platform). Both are open-source on GitHub.
My goal is to dive deeper into engineering scalable software, contributing to production-grade AI applications and exploring tools that combine science, education, and computing.
Ask sharper questions and continuously explore beyond the boundaries of a single discipline.
Keep verified, working deliverables clearly separated from concepts, estimates, and ideas.
Care deeply about the tactile details, performance margins, and architectural clarity.
Build unbreakable fundamentals through relentless practice, testing, and iteration.
Solve genuine human problems rather than fabricating complexity for display.
Transitioned from a biology/pre-medical focus directly into AI & Data Science.
Completed an AICTE-approved Python Developer Internship during first year of undergraduate study.
Writing poetry is a creative counterweight to algorithmic thinking and code.
Explored an experimental concept encoding binary states using dual audio frequencies.