CV

Ayush Sharma Kaundinya

Summary

Computer Science student at Gandaki College of Engineering and Science with practical experience in Artificial Intelligence, specializing in natural language processing, computer vision, and multimodal learning, with a focus on developing scalable and interpretable AI systems.

Education

  • Computer Engineering
    2025
    Gandaki College of Engineering and Science
    GPA: 2.84
    Courses: Artificial Intelligence, Natural Language Processing, Simulation and Modeling, Data Mining, Digital Signal Processing and Analysis, Cloud Computing, Theory of Computing, Probability, Numerical Methods

Work Experience

  • Full-Stack Software Engineer
    2025-09-01 - 2025-12-15
    Giga Infosoft
    Full‑stack engineer on a small team building web applications with Django and React, taking features from idea to deployment and focusing on clean, reliable, and efficient code.
    • Delivered end‑to‑end features in Django and React, from database models and APIs to responsive, user‑friendly interfaces
    • Optimized and profiled REST APIs to reduce response times and improve data flow between services
    • Collaborated closely across front‑end and back‑end to design scalable architectures and smooth user experiences
  • AI & Full-Stack Developer
    2022-01-01
    Freelance
    Designed and built AI‑driven web applications, ranging from personal and portfolio projects to production‑ready tools used in real scenarios.
    • Built NLP‑based text summarization tools that turned long documents into concise, readable summaries
    • Created online proctoring systems for remote exams, including face detection and activity monitoring features
    • Implemented AI models for emotion detection using text and images and integrated them into web applications
    • Developed prediction engines and recommender systems using machine learning algorithms to provide personalized user experiences
    • Automated data cleaning, feature extraction, and other preprocessing steps in Python to support AI workflows