I am an Artificial Intelligence & Machine Learning engineering student focused on building scalable AI systems and full-stack applications.
My work spans Neural Architecture Search (NAS), optimization algorithms, and AI model evaluation, including a research project on a hybrid GA–PSO NAS framework with surrogate modeling for efficient learning.
I also develop real-world solutions such as:
- AI model auditing pipelines using SLMs
- Full-stack applications with Next.js & Spring Boot
- IoT systems with real-time analytics
I am passionate about combining AI, systems design, and practical impact.
💡 Interests: ML, Deep Learning, Applied AI 🎯 Goal: Build impactful, efficient AI-driven systems
Currently:
- 👨🎓 Event Coordinator @ Gradient Club, BMSCE
- 🎨 Design Head @ Gradient Club, BMSCE
I build with logic, learn with curiosity, and keep the journey fun while crafting things that matter.
Feel free to explore my repositories and drop a ⭐ if you find something interesting!