Building software products that solve real-world problems through AI and automation
Undergraduate in Artificial Intelligence & Machine Learning
I enjoy building products that solve practical problems. More than learning a particular language or framework, I'm interested in understanding how systems work, why they fail, and how thoughtful engineering can turn an idea into something reliable that people can actually use.
I'm still exploring different areas of engineering through software projects, AI, embedded systems, and hackathons. Rather than choosing a specialization early, I prefer letting the projects I build shape my interests and push me toward the areas I naturally enjoy working in.
I enjoy thinking through architecture, debugging problems at their root, and balancing technical decisions with practical constraints. AI is part of my engineering workflow but not my identity. I use it where it genuinely improves my workflow, giving me more time to focus on problem solving, system design, and building better products.
| Area | Current Focus |
|---|---|
| 🧠 AI & Intelligent Systems | Building AI applications with a focus on computer vision, vision-language models, and practical ML solutions |
| 🤖 Automation & Embedded Systems | Developing hardware-software solutions using embedded devices, sensors, and real-time monitoring systems |
| 🚀 Product Development | Designing and building end-to-end products that solve practical problems from concept to deployment |
| 🏗️ Software & System Design | Learning system architecture, engineering trade-offs, and building maintainable software |
| 🤝 Hackathons & Collaboration | Building products in multidisciplinary teams, rapidly prototyping ideas, and learning through real-world challenges |
Vision-language framework for medicinal plant analysis
An AI system that identifies medicinal plants and answers natural-language questions about them through Visual Question Answering (VQA), combining computer vision with large language models to support education, research, and early healthcare use cases.
AI-powered emergency response & disaster management platform
An AI-driven disaster-response platform that supports faster decision-making during accidents and natural disasters, combining real-time data with situational awareness and resource coordination for responders and civilians alike.
Offline recruitment assessment platform
A secure, offline platform for running aptitude, technical, and coding assessments without an internet connection, built for colleges and organizations that need reliable, offline evaluation.
IoT-based energy monitoring system
An IoT dashboard for hostel-scale energy management, tracking voltage, current, power, and consumption in real time to support more efficient power use.
Beyond building products, I enjoy helping others build theirs.
As Tech Lead of the Automation & Robotics Club (ARC-SJEC), I work with students on technical projects, workshops, hackathons, and club initiatives. The role has taught me that good engineering is rarely an individual effort. It comes from clear communication, thoughtful collaboration, and creating an environment where everyone can contribute and learn.
Working closely with different teams has also given me a better appreciation of how engineering extends beyond writing code. It involves making decisions, balancing trade-offs, mentoring others, and keeping projects moving when challenges arise. Those experiences have shaped the way I approach teamwork just as much as the projects I've built myself.
Languages
AI & Data
Embedded Systems
Dev Environment
Currently Exploring
