Electrical Engineering student at IOE Pulchowk Campus with experience in software development and a focused interest in the intersection of AI and electrical systems.
My engineering background gives me a systems-level perspective on how software interfaces with physical constraints, power, signals, and hardware. I'm currently working toward applying AI and machine learning in contexts where that foundation matters, including edge computing, intelligent control systems, and hardware-software integration.
I'm looking to build things where electrical engineering and AI converge in meaningful ways.
Physics-Informed Neural Networks for transient stability analysis in power systems
A lightweight HTTP web server implemented from scratch in C, handling concurrent connections with multi-threading and supporting basic HTTP methods.
A simple L2G system for detecting faults in electrical systems using relay modules and sensors
IOE Pulchowk Campus
Khwopa Secondary School
GPA: 3.88/4.0
Galaxy Public School
GPA: 3.60/4.0
Building a Physics-Informed Neural Network for power system transient stability analysis, embedding differential equations into loss functions, and learning why Tanh matters.
Reflections on working as the sole frontend engineer in a six-person startup team, learning maintainable code, Git workflows, and pragmatic tradeoffs.
My first hackathon experience at DELTA 5.0 in Dharan, building an L2G fault detection system with relay modules, nearly getting hit by a truck, and winning Best Emerging Team.
My first AI/ML hackathon experience at KU Hackfest 2025, building an X-ray disease classification model with transfer learning, DenseNet-121, and Grad-CAM visualization.
> Studying Electrical Engineering at IOE Pulchowk
> Open to internships,work and project collaboration opportunities
> Always excited to discuss innovative ideas and solutions
