- Computer Engineering Graduate from Pulchowk Campus
- Co-founder & Developer at a healthcare AI startup focused on AI-powered medical documentation
- Building speech-to-text systems for Nepali + English mixed medical conversations
- Working on making healthcare documentation faster, simpler, and more affordable for hospitals and clinics
- Former Research Intern @ NAAMII — worked on X-ray to 3D bone reconstruction
- Former SWE Intern @ IOE — contributed to exam management systems
- Interested in AI/ML, healthcare AI, speech systems, computer vision, and scalable backend systems
AI-powered speech-to-text platform designed for healthcare professionals to reduce manual documentation work.
Supports Nepali-English mixed conversations and generates structured clinical notes.
Tech: FastAPI, React, Next.js, PyTorch, Whisper, Docker, AWS
Research project focused on reconstructing 3D bone structures from 2D X-rays using deep learning and transformers.
Tech: PyTorch, DRR, Transformers, 3D Vision
Deep learning models for multi-class and multi-label retinal disease prediction.
Tech: EfficientNet, ResNet, Ensemble Learning
Video understanding models trained on action recognition datasets.
Tech: VideoMAE, SlowFast, VIViT
Social media sentiment analysis dashboard with interactive analytics.
Tech: React, FastAPI, BERT
Languages: Python, C/C++, JavaScript, TypeScript
Frontend: React, Next.js, Tailwind CSS
Backend: Node.js, Express.js, FastAPI
AI/ML: PyTorch, Scikit-learn, NumPy, Pandas
Databases: MongoDB, MySQL
Tools & Cloud: Docker, Git, Linux, AWS
- Healthcare AI & Medical Speech Recognition
- Clinical Documentation Automation
- Scalable AI Systems
- Building real-world AI products for Nepal
