Saishna Budhathoki
Machine Learning Engineer • Researcher • Instructor
Machine Learning Engineer • Researcher • Instructor
I am Saishna Budhathoki, a passionate Machine Learning Engineer exploring the AI universe with focus on healthcare, computer vision, and NLP.
With 2+ years of experience, I've built solutions for ICU data analysis, mentored 200+ students, published books, and spoken at top events. I love discovering how AI can transform society and healthcare.
Nepal College of Information Technology (NCIT) | 2021 – 2025
Major: Software Engineering, Minor: Machine Learning
Relevant Coursework: Big Data, NLP, Data Analysis, Data Structures & Algorithms
Online Remote | Feb 2025 – July 2025
Access to Premium version with focus on DataScience, DataEngineering, and SQL
NICRF Nepal (2024 – Present)
Built predictive models for sepsis, ARDS, MODS, and mortality risk. Collaborated with doctors to optimize ICU treatment strategies.
AIMS International College (2025 – Present)
Taught Machine Learning, Deep Learning, Python. Mentored students on real-world projects in healthcare AI and NLP.
AITC International Software (2025 – Present)
Delivered training on ML & Python. Built real-world algorithms and designed workshops tailored for beginners & intermediate learners.
Aaviyanta Foundation (2024 – 2025)
Winner of project competition. Built GIS & AI-based disaster management system for real-time flood monitoring & climate change prediction.
NAMI College (Nov 2024 – Feb 2025)
Taught RAG, LLMs & multimodal AI to 150+ students. Designed real-world projects and mentored student research work.
Nepal Open Source Klub (2024)
Guided hackathon participants on open-source tools, scalability, and building AI-powered real-world solutions.
KEC Nepal (2024)
Supported 60+ project groups. Provided guidance in healthcare, education, and AI innovation projects for competitions.
NAMI College (2024)
Mentored undergraduate students on ML project implementation and aligning academic work with real-world AI practices.
Nagarjun College of IT (2024)
Guided multiple project teams on cloud computing, AI, and ML fundamentals. Supported innovative research-based projects.
Led AI development for sepsis detection across 15+ hospitals including TU Teaching Hospital & Mediciti. Deployed real-time diagnostic support systems.
Built AI-based fitness system with posture tracking (CNN), diet recommendation(K-Means Clustering), speech translation, and real-time exercise form correction.
YOLOv8 + OCR pipeline for Nepali license plates. Achieved 98% accuracy for real-time vehicle recognition and traffic automation.
Developed system analyzing text, audio & visual data. Achieved 91% accuracy in emotion detection using transformers, applied to customer engagement.
Built classification model using Logistic Regression & Random Forest to predict student success from grades, attendance, and study habits.
Developed hybrid recommender using collaborative & content-based filtering. Personalized movie suggestions leveraging user ratings & genres.
CNN (TensorFlow + Keras) deployed with Streamlit. Real-time chest X-ray classification system for pneumonia diagnosis.
Developed online shopping platform using Django, HTML, CSS & JavaScript with secure cart & order management features.