Programming Languages
- C
- C++
- Java
- Python
- JavaScript
- PHP
// hello world, I'm
Dipesh Baniya
Software Developer · Computer Science Graduate
Building practical software through code, design, and intelligent systems — from web applications and databases to machine learning models and well-considered interfaces.
// 01 — about
Grounded in computer science, driven by building things that work
I hold a Bachelor of Science in Computer Science and Information Technology (BSc.CSIT) from National College of Computer Studies, Kathmandu, affiliated with Tribhuvan University. My academic path has given me a solid foundation in programming, data structures and algorithms, database systems, and software design — and I've used that foundation to build real, working projects rather than just study theory.
Across my project work, I've built with C, C++, Java, and Python for core logic and system design; PHP, SQL, and JDBC for back-end and database-driven applications; and HTML, CSS, and JavaScript for front-end interfaces. I've also applied Python and scikit-learn to machine learning tasks like classification and prediction, and used Figma to design user flows and high-fidelity interfaces before a single line of code is written.
What interests me most is the full picture — how a database schema, a back-end service, a trained model, and a front-end interface come together into one coherent system. I enjoy tracing a problem from a rough idea to a working solution, and I'm comfortable moving between backend logic, web application development, and interface design depending on what a project needs.
I'm currently looking for internship, junior developer, and collaborative software opportunities where I can contribute to real-world products, learn from experienced engineers, and keep sharpening both my technical and design instincts.
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Projects built
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Languages & tools
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Core domains
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Graduating year
// 02 — technical skills
A working toolkit across the stack
Skills below reflect hands-on familiarity built through coursework and independent projects — not formal certification levels.
Front-End Development
- HTML5
- CSS3
- JavaScript
- Responsive Design
Back-End & Database
- PHP
- SQL
- JDBC
- Database Integration
Computer Science
- Data Structures
- Algorithms
- OOP
- Problem Solving
- System Logic
Machine Learning
- Python
- Data Preprocessing
- Feature Selection
- Scikit-learn
- Classification
- Linear Regression
UI/UX Design
- Figma
- Wireframing
- User Flows
- Prototyping
- Visual Hierarchy
Tools & Platforms
- Git
- GitHub
- Visual Studio Code
// 03 — featured work
Featured projects
A closer look at the projects that best represent range across web development, machine learning, and interface design.
Web · Machine Learning
Personalized Reading System
A personalized web-based reading platform that helps users discover suitable reading material, track reading activity, and receive recommendations powered by a machine-learning model that estimates reading time and suggests content based on user behavior.
- User registration, login, and personal dashboard
- Reading-time prediction using a trained ML model
- Personalized book recommendations from reading history
- Progress tracking and comprehension quizzes
- Admin panel for managing books and reading resources
Python
Flask
Machine Learning
HTML/CSS/JS
Database
Demonstrates: full-stack development, applied machine learning, database design, UX for learning tools.
Full-Stack Web
Advanced Parking Management System
A full-stack browser-based system for managing parking slots, vehicle entry and exit, and fee calculation, with a PHP back end handling record storage and a responsive front end for daily operation.
- Real-time parking-slot allocation
- Vehicle entry and exit logging
- Automated parking-fee calculation
- Record management and search
- Integrated front-end and back-end workflow
HTML
CSS
JavaScript
PHP
Demonstrates: full-stack integration, CRUD workflows, practical system design.
Machine Learning
Glass Classification
A machine-learning classification project that predicts glass type categories from measured chemical and physical features, comparing model performance and analyzing generalization.
- Dataset loading and exploration
- Data preprocessing and feature selection
- Model training with scikit-learn
- Accuracy comparison across models
- Generalization and error analysis
Python
Scikit-learn
Machine Learning
Demonstrates: applied ML workflow, model evaluation, analytical reasoning.
UI/UX Design
Art Selling & Buying Platform
A high-fidelity UI/UX design for an online art marketplace, covering distinct buyer and seller journeys from browsing and artwork detail pages through to a complete purchase flow.
- Buyer and seller journey mapping
- Product browsing and artwork detail pages
- End-to-end purchase flow
- Visual hierarchy and interface system
- High-fidelity interactive prototype
Figma
UI/UX Design
Prototyping
Demonstrates: user-flow design, visual hierarchy, prototyping for real product journeys.
// 04 — full archive
All projects
Parking Management System (C)
Console-based parking application built with structured programming — arrays, structures, and clear program flow to track vehicle entry, exit, and records.
CStructures
Parking Management System (Java & SQL)
Object-oriented parking management application connected to a relational database via JDBC, handling slot registration and fee records.
JavaSQLJDBC
Library Management System
Class-based system for managing books, members, and borrow/return workflows, applying encapsulation and inheritance to keep concerns separated.
C++OOP
Cash Flow Minimizer
Graph-based, greedy algorithm that reduces the number of transactions needed to settle debts among a group of people, with edge-case handling.
AlgorithmsGraphs
Featured projects above — Personalized Reading System, Parking Management System (Web), Glass Classification, and the Art Marketplace design — are also part of the full archive.
// 05 — education
Education
Bachelor of Science in Computer Science and Information Technology
National College of Computer Studies, Kathmandu — affiliated with Tribhuvan University
2022 – 2026
A comprehensive program covering programming fundamentals, data structures and algorithms, database management systems, software engineering, machine learning, and web technologies — applied throughout via project-based coursework spanning console applications, database-backed systems, and machine-learning models.
// 06 — how I work
Development process
Understand the problem
Start by mapping requirements, constraints, and the actual workflow a system needs to support before writing any code.
Design the structure
Sketch data models, user flows, and architecture — in Figma for interfaces, or on paper for logic and database design.
Build incrementally
Implement in small, testable pieces, using version control to track progress and keep changes reviewable.
Test and refine
Check edge cases, validate against real inputs, and refine logic, layout, and performance before calling it done.
// 07 — strengths
Strengths & working style
Fast learner
Organized & methodical
Proactive & self-driven
Problem-solving mindset
Team collaboration
Clear communication
Time management
Punctuality
Professional discipline
Adaptability
Professional, responsible, and committed to following organizational standards and project requirements — while contributing ideas and asking questions that improve the outcome.
// 08 — coding activity
On GitHub
Project source code, experiments, and ongoing work are tracked on GitHub. Explore the repositories below for implementation details on any project featured in this portfolio.
Visit GitHub Profile// 09 — contact
Let's build something
Open to internships, junior developer roles, and collaborative projects. Reach out directly or send a message below.