Welcome to my digital space. I build, learn, experiment, and create with web development, machine learning, computer vision, and intelligent systems.
A passionate computer engineering student focused on AI, web technologies, research, and practical innovation.
Computer Engineering undergraduate with strong foundations in Python, C/C++, web technologies, machine learning, and deep learning. I enjoy building real-world solutions through Django development, computer vision, predictive modeling, and transformer-based AI systems. I am also actively involved in technical events, student collaboration, and innovation-driven projects.
ARL Intern, F1Soft International Nepal
IBM Learning
IBM Learning
Simplilearn
SkillUp
Cisco
Cisco
University of Alberta
Built a real-time sign language recognition system using CNN, OpenCV, NumPy, and Pandas with optimizer-based model comparison.
Compared multiple optimizers across image classification models to evaluate convergence speed, efficiency, and performance trends.
Developed a collaborative web-based prototype focused on practical problem solving and local empowerment.
Built an agricultural image classification system for tomato disease detection using Vision Transformer (ViT) and deep learning methods.
Developed a predictive model to estimate car fare based on travel and route-related input features using linear regression.
Tools, technologies, and domains I work with and continue exploring.