Computer Engineer with expertise in AI, Machine Learning, Deep Learning, and Data Science. Skilled in developing computer vision, LLM-powered, and full-stack intelligent systems. Research interests include data mining, cybersecurity, signal processing, and responsible AI, with applications in healthcare, bioinformatics, and autonomous systems.
- Deep Learning and Neural Network Architectures
- Computer Vision for Healthcare and Bioinformatics
- Data Mining, Pattern Recognition, and Uncertainty Handling
- Large Language Models and Multimodal AI
- Cybersecurity and AI for Secure Systems & Networks
- AI for Signal Processing, IoT, and Autonomous Systems
- Explainable and Responsible AI
FastAPI-based recommendation system powered by GPT-3.5 with PostgreSQL, caching, and user authentication.
AI-based web & mobile app to detect skin conditions using CNN models (InceptionV3, ResNet50, MobileNet).
AI-powered mobile/web app for farmers to identify rice leaf diseases using camera or gallery images.
Web app to manage student, teacher, syllabus, routine, notices, and results online.
- Full Scholarship Recipient for B.E. in Computer Engineering (Pokhara University)
- Member, Google Developer Student Club (Funded by Google)
- Project Management & Technical Lead, nec Ingenium 2023
- Former Secretary, nec IT Club
💼 Portfolio: Coming Soon
I love connecting with different people so if you want to say hi, I'll be happy to meet you! 😊
