Open to opportunities

Prapti Timalsina

@praptitimalsina

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AI practitioner specializing in ML/DL with strong Python and PyTorch expertise.

Nepal

Message

What I'm looking for

I seek a collaborative environment to apply ML/DL skills on impactful AI products, with opportunities for research, mentorship, and deploying models to production.

I am an AI practitioner focused on machine learning and deep learning, proficient in Python and PyTorch, and experienced in building production-ready models and APIs.

At Fusemachines I enhanced a plagiarism detector using RoBERTa, researched sequence models and time-series DL, and contributed to study materials for an AI fellowship. I also collaborated on a Nepali Visual Commonsense Reasoning project using vision-language models.

My projects include a ResNet18-based maize leaf disease detector deployed via a Django REST API, a LangChain/Pinecone retrieval-augmented chatbot with Streamlit, and a Flask app that scrapes articles and summarizes them with a BART transformer.

Experience

Work history, roles, and key accomplishments

Current

AI Academics Intern

Current

Fusemachines

Aug 2025 - Present (10 months)

Enhanced a plagiarism detector by implementing a RoBERTa-based AI text detection system that significantly improved accuracy and precision; developed study materials and notebooks for the AI Fellowship program.

PyTorch NLP Transformers RoBERTa Model Evaluation Python Deep Learning Curriculum Development

Current

AI Fellow

Current

Fusemachines

Apr 2025 - Present (1 year 2 months)

Collaborated in a team of three on ML/DL, CV, and NLP research to develop a Nepali Visual Commonsense Reasoning model using vision-language models and conducted applied experiments.

Computer Vision NLP PyTorch Model Research Experimentation

Education

Degrees, certifications, and relevant coursework

Institute of Engineering, Pashchimanchal Campus, Tribhuvan University

Bachelor of Engineering, Computer Engineering

2021 - 2025

Grade: 79.31%

Bachelor of Computer Engineering covering core courses such as Data Structures and Algorithms, Artificial Intelligence, Database Management Systems, and Big Data Analytics; achieved 79.31% aggregate.