Sandesh Upreti

Sandesh Upreti

AI/ML Enthusiast


Kathmandu, Nepal

Welcome to My Portfolio

Hey, I am Sandesh Upreti. I love technology exploration, networking and music.


Basically I am:


  • TU affiliated BSc.CSIT student

  • Based in Kathmandu, Nepal

  • Experienced in Data Science and AI projects

  • Open to collaboration and new opportunities

About Me

I am a B.Sc. CSIT student with a passion for Data Science and Machine Learning, specializing in Python as my core programming language. I also have experience with front-end technologies (HTML, CSS, JS, JQuery).

I enjoy working on hands-on projects that combine my technical skills with my interests. Currently focused on expanding my expertise in data analysis, machine learning algorithms, and AI technologies.

Technical Skills

Python
Data Science
Machine Learning
HTML/CSS
LaTeX
AI/LLMs
Git
Linux

My Projects

Job Search Recommendation Chatbot

03/2025 – 03/2025

An AI-powered chatbot system that helps users find suitable job opportunities using advanced NLP techniques.

  • Implemented RAG-based generation using vector databases
  • Scraped and preprocessed job data from multiple sources
  • Built with Python, Transformers, and custom recommendation algorithms
Python Vector DB Transformers RAG

MusicMash

03/2025 – Current

A web-based music practice tool combining multiple utilities for musicians.

  • Interactive chord transposer and digital metronome
  • Ear training exercises and tuner functionality
  • Built with modern web technologies
HTML5 CSS3 JavaScript jQuery

Experience

Bachelors in Computer Science and Technology

01/2023 – Current | Orchid International College

Currently pursuing my degree with focus on Data Science, AI technologies, and software development.

  • Specializing in Data Science and Machine Learning
  • Studying AI technologies including LLMs and Transformers
  • Learning software development and system design principles
Visit College Website

Self-Directed Learning & Projects

2023 – Present

Continuous skill development through independent projects and learning.

  • Independent study of advanced AI/ML concepts
  • Building practical applications combining different technologies
  • Contributing to open source and collaborating with peers
  • Participating in hackathons and coding challenges