Programming Languages
- C
- C++
- Java
- Python
- JavaScript
- PHP
// hello world, I'm
Dipesh Baniya
Software Developer Β· Computer Science Graduate
Building practical software through code, design, and intelligent systems β from web applications and databases to machine learning models and well-considered interfaces.
- π Graduating 2026
- π Kathmandu β open to remote
- πΌ Available for internships & junior roles
// 01 β 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 β 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 β 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 β technical skills
A working toolkit across the stack
Skills below reflect hands-on familiarity built through coursework and independent projects β 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
Relative familiarity by domain
A rough, self-assessed view of breadth across domains β not a verified proficiency score.
// 03 β featured work
Featured projects
A closer look at the projects that best represent range across web development, machine learning, and interface design.
Web Β· 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 β full archive
All projects
Parking Management System (C)
Console-based parking application built with structured programming. Vehicle records are modeled as an array of structs with fields for slot number, plate ID, and entry timestamp, with linear search driving lookups on exit and fee calculation.
CStructures
Parking Management System (Java & SQL)
Rebuilds the same problem as a layered Java application: model classes for slots and vehicles, a JDBC data-access layer for persistence, and a relational schema that keeps entry, exit, and fee records queryable instead of held only in memory.
JavaSQLJDBC
Library Management System
Separate Book, Member, and Transaction classes keep borrowing logic decoupled from inventory state, with base/derived class relationships for member types so shared behavior lives in one place instead of being duplicated.
C++OOP
Cash Flow Minimizer
Nets each person's balance down to a single value, then greedily matches the largest debtor against the largest creditor on every pass β a recursive min-max settlement that collapses many pairwise debts into a handful of transactions.
AlgorithmsGraphs
Featured projects above β Personalized Reading System, Parking Management System (Web), Glass Classification, and the Art Marketplace design β are also part of the full archive.
// 05 β education
Education
Bachelor of Science in Computer Science and Information Technology
National College of Computer Studies, Kathmandu β affiliated with Tribhuvan University
2022 β 2026
A comprehensive program covering programming fundamentals, data structures and algorithms, database management systems, software engineering, machine learning, and web technologies β applied throughout via project-based coursework spanning console applications, database-backed systems, and machine-learning models.
// 06 β 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 β 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 β 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 β while contributing ideas and asking questions that improve the outcome.
// 08 β now
What I'm working on
Updated July 2026
Finishing up my BSc.CSIT coursework while sharpening the machine-learning side of the Personalized Reading System, and spending time going deeper on data structures and system design ahead of internship applications. Also using this portfolio itself as a small ongoing project β most of the recent interface and performance details on this site were built and refined after the fact, not part of the original coursework.
Next up: going deeper on backend system design and distributed systems fundamentals, getting more comfortable with cloud deployment (beyond static hosting), and picking up TypeScript as a natural next step from JavaScript.
// 09 β uses
Tools & workflow
Editor & environment
- Visual Studio Code
- Git & GitHub for version control
- VS Code Live Server for static previews
Languages & frameworks
- Python (Flask, scikit-learn)
- Java (JDBC)
- PHP & SQL
- HTML5, CSS3, vanilla JavaScript
Design
- Figma for wireframes & prototyping
- A restrained dark-theme palette by default
// 10 β coursework & certificates
Coursework & certificates
Placeholder badges below β swap in real course/certificate names once available. See the README for instructions.
Add certificate name
Add course name
Add badge / credential
// 11 β endorsements
What people say
Note: double-check the quote wording below matches what Ram actually said before publishing β the name and relationship are set, but the exact phrasing should be confirmed with him.
"Dipesh consistently approached assignments by first understanding the full system before writing code, which showed in how cleanly his projects were structured. A dependable, detail-oriented developer to work with."
// 12 β notes
Notes on building these
Short write-ups on specific decisions from the projects above.
Why reading-time prediction needed per-user data
On treating reading speed as personal rather than a fixed words-per-minute constant, and what that meant for the model.
Read more βKeeping slot state and fee logic from drifting apart
A note on deriving parking-slot availability from records instead of a separate status flag, and why that avoided a class of bugs.
Read more βGreedy settlement for the Cash Flow Minimizer
Walking through why matching largest debtor to largest creditor, recursively, minimizes the number of transactions.
Read more β// 13 β 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.
βPublic repos
βStars earned
βFollowers
Loading live stats from the GitHub APIβ¦
Visit GitHub Profile// 14 β lessons learned
A few things that didn't go right the first time
Skipping straight to the wins felt incomplete β here's what actually went wrong on a couple of these projects, and what changed after.
Storing slot status as its own flag
An early version of the Parking Management System tracked slot availability as a separate true/false flag alongside the entry/exit records. An edge case left a slot marked occupied with no matching record, and there was no clean way to tell which was right. The fix was to stop storing availability at all β it's now derived from whether an active record exists. See the full note for details.
Reaching for a flat words-per-minute estimate
The first version of the Personalized Reading System's time estimate used a single fixed reading speed for everyone. It technically worked, but it wasn't personalized in any real sense β the whole point of the feature. Rebuilding it around per-user reading history took longer, but it's the version actually worth showing.
Over-scoping this portfolio itself
Several rounds of feature additions to this site (command palette, live GitHub stats, offline support, and more) were built in quick succession without stopping to verify each one on a real device first. A mobile layout bug shipped as a result before being caught and fixed. Slower, more deliberate testing between rounds would have caught it sooner.
// 15 β faq
Quick answers for recruiters
When am I available to start?
Available starting after graduation in 2026 β reach out any time before then to discuss timing for internships or early-start roles.
Remote, on-site, or relocation?
Based in Kathmandu, Nepal, and open to remote roles. Open to relocation or on-site work for the right opportunity β happy to discuss specifics directly.
What level of role am I looking for?
Internships and junior/entry-level developer roles β front-end, back-end, or full-stack, with a particular interest in roles that touch web development, databases, or applied machine learning.
Work authorization?
Nepali citizen. For roles outside Nepal, happy to discuss visa/work-authorization specifics directly β reach out via the contact section below.
// 16 β contact
Let's build something
Open to internships, junior developer roles, and collaborative projects. Reach out directly or send a message below.
Kathmandu, Nepal
github.com/itsdipeshB
Download one-page project summary (PDF)
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