From curiosity to human-centered technology.
My journey into technology began with curiosity.
I was always fascinated by how machines move, respond, and interact with people. My first exposure to robotics came through a summer robotics camp during elementary school, where I learned the basics of sensors, movement, and programmable systems. What started as excitement around building simple robots slowly became a much deeper interest in understanding how technology can solve real-world problems.
After that experience, I began experimenting with small DIY projects at home and continued exploring robotics throughout school. I became especially interested in how hardware, software, and human interaction come together to create intelligent systems.
As I grew older, I started noticing something important during robotics sessions and technology workshops in schools — students were often excited initially, but many learning experiences lacked continuity, personalization, and real-world engagement. Technology was being introduced, but students were not always able to interact with it in a meaningful or practical way.
That observation became one of the reasons I became actively involved with the EDUBOT initiative at PredictML.ai. EDUBOT is an AI-powered Humanoid Shaped autonomous Robot educational assistant designed to deliver interactive learning, continuous academic support, and intelligent classroom engagement through robotics and advanced AI technologies.
Rather than only observing the technology, I participated in testing real classroom use cases and interaction models for educational robotics and AI-assisted learning systems. I contributed ideas based on how students responded to humanoid interaction, attention span, comfort levels, classroom engagement, and the types of learning experiences that made students curious rather than intimidated by technology.
Working closely around EDUBOT also exposed me to embedded systems, motor controls, AI workflows, Python-based systems, and the broader process of transforming an idea into a deployable real-world solution.
One of the biggest realizations during this journey was that access to emerging technology is highly unequal. Students in many government schools and under-resourced communities often have little or no exposure to robotics, AI, or interactive learning systems — despite having the same curiosity and potential.
That realization inspired me to help initiate the NavanTara AI Learning Foundation — an NGO, with a vision of expanding AI and robotics exposure to government schools, ITIs, and underserved student communities. The goal was not simply to introduce technology, but to make students feel that advanced technologies like AI and robotics are approachable, interactive, and relevant to their lives and future careers.
Through this journey, I gradually realized that my interest was never limited to programming alone. I became increasingly interested in the intersection of Intelligent systems, Education, Human-centered technology and I actively played a major role in the below projects:
- 01EDUBOT-Facial-and-Body-Movement-Recognition - This is a research-grade computer vision project for educational robotics. This system detects facial and body movement cues to estimate interaction readiness and engagement proxies in classroom-like environments
- 02LearnHub Digital-Learning Platform - AI-powered digital learning for students. Video lessons on AI, Python, Cybersecurity & Digital Ethics
- 03Detecting-Bias-in-Indian-Educational-Content - This project applies data science and natural language processing to measure these patterns at scale across Indian school-level educational content
These experiences are also what shaped my decision to pursue Information Science, Data Science, Informatics. What attracts me to IS is the opportunity to combine technology with systems thinking, strategy, and real-world implementation. I want to understand not only how technology is built, but also how it can be deployed responsibly, scaled effectively, and used to solve meaningful societal challenges.
Looking back, what began as childhood curiosity around robotics has evolved into a deeper commitment toward building technology that is thoughtful, accessible, and capable of creating real human impact.