Hi there 👋, I'm Amosh Sapkota

About Me

I am a result-driven MS in Computer Science graduate with 3+ years of work experience, currently seeking full-time roles.

🔭 I’m currently working on enhancing my skills in Generative AI
🌱 I’m currently learning more about big data technologies and machine learning
👯 I’m looking to collaborate on innovative projects related to AI and data analysis
💬 Ask me about cloud computing, web development, and machine learning
📫 How to reach me: [email protected]
😄 Pronouns: He/Him
⚡ Fun fact: I love swimming and working out in my free time

🛠️ Languages and Tools:

Languages: Python, C/C++, Java, SQL, HTML, CSS, Javascript, TypeScript
Frameworks: Hadoop, Flask, Express, React, Node, TensorFlow, PyTorch, Apache Spark
Developer Tools: Git, GitLab, Docker, VS Code, PyCharm, LaTeX, Jira
Libraries: NumPy, Pandas, Matplotlib, Seaborn, Keras, OpenCV, NLTK, scikit-learn, Transformers
Cloud Platforms & Databases: AWS, Azure, Google Cloud Platform, MySQL, MongoDB, Apache HBase

💼 Experience

Graduate Teaching Assistant | University of Texas at Arlington | Aug 2022 - May 2024
- Conducted demos and examined projects utilizing MySQL, Java, Python, React, and JavaScript for AI, Database Systems, Web Data Management, and Data Mining courses.
Research Assistant | BioMeCIS Lab - UT Arlington | May 2023 - Dec 2023
- Worked on OpenOmics, enhancing user interaction with multi-omics data using Flask and React.js.
Software Engineer | Xelwel Innovation | June 2021 - July 2022
- Designed, developed, and maintained the LMS web application using JavaScript frameworks (React, Node.js) and Python, achieving a 30% improvement in load times.
Summer Intern | KL University | May 2019 - June 2019
- Contributed to UI/UX design, database connections, and login management for a student assignment tracking app.

📚 Education

Master’s in Computer Science | University of Texas at Arlington | Aug 2022 - May 2024
Bachelor’s in Computer Science and Engineering | KL University | June 2017 - May 2021

📫 Connect with me:

Amosh Sapkota's Projects

expense-8-puzzle-problem

The task is to build an agent to solve a modifed version of the 8 puzzle problem (called the Expense 8 puzzle problem).

facial-emotion-expressions-classification

The goal of this project is to use Convolutional Neural Network (CNN) to perform facial emotion expressions classification of image datasets.

knn-implementation-from-scratch

Implementation of the K-Nearest Neighbors (KNN) algorithm and its evaluation using k-fold cross-validation

This project evaluates the classification performance of three machine learning models: Decision Tree, Convolutional Neural Network (CNN), and Support Vector Machine (SVM) in detecting different types of diseases in mango leaves.

modified-nim-problem

The task is to make an agent to play a modified version of NIM (called red-blue nim against a human player).

openomics

A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.

rotten-tomato-review-using-naive-bayes-classifier

This project aims to classify movie reviews from Rotten Tomatoes as positive or negative using a Naive Bayes Classifier. The objective is to build a model that can accurately predict the sentiment of a given movie review.

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