πŸŽ“ Open to internships and collaboration opportunities! Say Hi!

Hi πŸ‘‹, I'm Yachana Adhikari

Problem Solver | ML Enthusiast

Passionate about building scalable applications and solving complex problems through technology, data science, and AI.

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About Me

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I'm a final year Computer Science student from Nepal with a deep passion for Machine Learning and Data Science. I love transforming complex problems into elegant solutions and building impactful projects with code.

Currently exploring cutting-edge ML techniques, building predictive models, and contributing to research in artificial intelligence. I'm actively looking to collaborate on Machine Learning & Deep Learning projects.

My Journey

A brief summary of my life and experiences so far

Tribhuwan University

BS in Computer Science and Information Technology | Sept 2022 – November 2026

  • Coursework: Artificial Intelligence, Neural Networks, System Design, Software Engineering, Computer Architecture, ASP.net, Compiler Design, Computational Theory, Advanced Calculus

Fusemachines Fellowship

Microdegreeβ„’ in Artificial Intelligence | 2025

[Award Name]

[Organization] | [Year]

Description of the award and achievement

[Certificate Name 1]

[Issuing Organization] | [Month Year]

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[Certificate Name 2]

[Issuing Organization] | [Month Year]

View Certificate β†’

Experience

AI Fellow | Fusemachines

Jun 2025 - Nov 2025

  • Built a news recommender web app ; CNNs and NLP; applied feature engineering, model tuning, and evaluation with Python (NumPy, Scikit-learn, PyTorch). Gained hands-on experience in responsible AI, bias mitigation, and technical presentations.

My Projects πŸ’»

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Multilingual Machine Translation

A comprehensive machine translation application built with Streamlit. It leverages sequence-to-sequence models to provide accurate translations across multiple languages seamlessly. Containerized with Docker and prepared for deployment.

Python Streamlit Machine Learning Docker
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Business Insights AI

An AI-powered data analytics platform that helps businesses uncover actionable insights from their data. The application processes complex datasets to generate intelligent visualizations based on predictive analytics.

Python Streamlit Pandas Data Science
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MyPocketLawyer

An intelligent legal assistant backend built to ingest, process, and query legal documents. Designed with data ingestion pipelines and deployed on scalable cloud infrastructure to power AI-driven legal consultations.

Python Backend Docker Railway
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Khabar Saramsha

An intelligent news summarization tool generating concise and accurate summaries.

Machine Learning NLP

My Research πŸ”¬

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Dual-Engine Patient Similarity for Clinical Decision Support

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Generative-Discriminative Data Augmentation for Low-Resource Information Extraction: An Empirical Study on Nepali

Contact

Feel free to reach out. I'll try my best to get back to you soon.