Summary
Diwas Pandey is a machine learning engineer with 8 years of hands-on experience combining academic research and production ML systems, currently pursuing an M.S. in Computer Science (AI) at Washington State University with a 4.00 GPA. He has led end-to-end computer vision and OCR projects—building Nepal-focused Nepali-to-Roman transliteration tools (18k+ PyPI downloads), large-scale OCR pipelines for citizenship documents, and real-time vehicle/license plate recognition—while deploying models with Docker, EC2, Flask and FastAPI. His graduate research blends ECG biometrics, cybersecurity, and deep learning, including a custom ECG augmentation technique and a submitted paper on robust identity recognition. A founder of aihubprojects.com and author of an ML book and tutorials, he pairs entrepreneurship and mentorship with practical MLOps practices. Based in Portland, OR, Diwas is eager to apply his expertise in computer vision and biomarker-based ML to challenging, impact-driven roles.
8 years of coding experience
4 years of employment as a software developer
Higher Secondary, PHYSICAL GROUP, DISTINCTION, Higher Secondary, PHYSICAL GROUP, DISTINCTION at National School Of Sciences NIST
Bachelor's degree, Computer Engineering, 79.09 (Top 1%), Bachelor's degree, Computer Engineering, 79.09 (Top 1%) at ACEM IOE TU
Master's degree, Computer Science - Artificial Intelligence, 4.00, Master's degree, Computer Science - Artificial Intelligence, 4.00 at Washington State University
English, Hindi, Nepali