Welcome to my Portfolio!

I'm Shistata Subedi



A Curious Student

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Name: Shistata Subedi

Job Role: Software Developer

Work Experience: 1.2 years

Address: Eugene, Oregon

Technical Skills

  • Research Methods: User Studies, Data Analysis
  • Programming/Scripting: Python, Java, JavaScript, TypeScript, HTML5, CSS
  • Frontend Frameworks: React.js, Redux, SASS, Polymer.js, LIT Element
  • AI/ML Tools: Explainable AI, Decision Trees, Neural Networks, LLMs
  • Networking: Distributed Systems, Edge Computing, Network Optimization
  • Data Analysis: SQL, Data Visualization
  • Mathematical & Computational Tools: MATLAB, LaTeX
  • Backend Technologies: Node.js, Express.js
  • Databases: MySQL, MongoDB
  • Tools & Version Control: Git, GitHub, Postman
  • Project Management: Agile (Scrum, Kanban)

About

About Me

I am a Ph.D. student at the University of Oregon researching and working with Prof. Suyash Gupta on Explainable AI (XAI) for Computer networks. My work aims to bridge the gap between complex AI models and human understanding, ensuring that AI-driven network systems are interpretable and trustworthy. Many AI models today operate like 'black boxes,' making decisions without clear explanations. I aim to develop methodologies that help network administrators and stakeholders understand, trust, and optimize AI-driven systems.

Before starting my graduate school, I worked as a software developer. This hands-on experience taught me a lot about building real-world systems, which helps me think about practical solutions in my research.

    • Profile: Computer Science, Explainable AI, Networks
    • Domain: AI & Machine Learning, Network Security, Data Science
    • Education: Ph.D. in Computer Science (University of Oregon)
    • Language: English, Nepali, Hindi
    • Interest: Cooking, Travelings, Eating, Art & Crafts (DIY)

0 +   Projects completed

Resume

Resume

Ph.D. student in Computer Science at the University of Oregon with a developing focus on Artificial Intelligence (AI), Machine Learning (ML), and Explainable AI (XAI) applied to Networks and Trustworthy Systems. Actively learning and exploring advanced techniques for creating interpretable, reliable ML solutions for high-stakes domains such as network security and large-scale distributed systems. Motivated to contribute to innovative research bridging AI and practical applications in network performance and safety.

Experience


2024-Present

Graduate Research Work

University of Oregon

Conducted research in Explainable AI for networked systems, focusing on hybrid explainability techniques and their impact on security and performance.

  • Researched global and local explainability methods, emphasizing their application to real-world network security and performance challenges.
  • Studied state-of-the-art techniques to enhance operator trust in ML systems through interpretable decision-making frameworks.
  • Reviewed scalability, efficiency, and latency issues in explainability models for large-scale networks and distributed systems.
  • Focused on foundational work in networked systems, including Bootstrapping Trust in ML4Nets Solutions and the ARISE Framework for Network Measurements.

2023-2024

Software Engineer

Leapfrog Technology Inc.

Leapfrog Technology Inc. is an international technology partner that specializes in AI-driven innovation, product development, and scalable enterprise solutions.

  • Streamlined the software development lifecycle, reducing project timelines by 20%.
  • Optimized RESTful APIs, achieving 30% faster response times, enhancing user satisfaction and engagement.
  • Designed and implemented backend APIs for the application using Micronaut.
  • Expanded product functionality to meet evolving business requirements.
  • Led high-quality data annotation, reducing anomalies and boosting model performance.



Education


2024-Present

Doctor of Philosophy

Computer Science
University of Oregon
2019-2023

Bachelor of Technology

Computer Science and Engineering
Vellore Institute of Technology

Projects

Projects

Below are some of my projects.

Aspen Biosciences

Developed a comprehensive drug discovery management system for scientists, optimizing research and experiment workflows. Integrated project management, chemistry workflows, and inventory tracking to enhance the discovery pipeline.

Vyaguta ERP System

Led the optimization of an ERP dashboard for employee and project management. Improved system performance and operational efficiency using SQL-based database optimizations.

VIT Connects

Designed a cross-platform app using Flutter and Firebase for students and faculty at VIT. Focused on interaction, course collaboration, and task management while implementing HCI principles through usability testing.


Time Delivery Problem

Developed a route optimization algorithm for the Traveling Salesman Problem, improving logistics efficiency. Focused on route planning within delivery systems to minimize operational costs.

0 Full-ride Scholarships
0 Projects
+ Competitive Programming
0 Cups of Tea

Check out my latest projects on GitHub!


GitHub

Explore My Coding Challenges & Solutions on Leetcode


Leetcode

Contact

Contact Me

Below are the details to reach out to me!

Address

Eugene, Oregon

United States

Email Address

shistatasubedi24@gmail.com

Download Resume

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