sushant.dev
Open to academic & project collaboration
Computer Science Student · Developer · AI & Human Performance

Sushant Dhakal

I build software exploring the intersection of artificial intelligence, computer science, and human performance.

Currently learning machine learning, software engineering, and data-driven approaches to human performance.

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About

Where the interests actually connect.

I'm a computer science student and developer interested in artificial intelligence, software engineering, and human performance.

I've built and deployed web applications, worked with hosting infrastructure, and developed projects involving AI, learning systems, and boxing training.

Outside software, I train boxing and study human physiology. I'm particularly interested in exploring how technology and data can be used to understand learning, training, and performance — which is why most of what I build sits somewhere between those two worlds.

RoleCS Student & Developer
BasedSydney, Australia
Originally from Nepal
FocusAI · Software Eng. · Human Performance
TrainingBoxing, structured weekly program
Email[email protected]
GitHubSushant-dhakl
Research Interests

Areas I'm exploring.

These are directions I'm reading into and building toward — not areas of claimed expertise.

01Artificial Intelligence
02Machine Learning
03Human Performance
04Sports Analytics
05Computer Vision
06Human-Computer Interaction
07Learning Technologies
Skills

What I can actually build with.

Programming
C
JavaScript
HTML / CSS
PythonLearning
AI & Data
AI APIs
Prompt Engineering
Machine LearningLearning
Data AnalysisLearning
Development
Git / GitHub
REST APIs
Local Storage
Responsive Web Development
Deployment
cPanel
Domain / DNS Configuration
Web Hosting
Production Deployment
AI-Assisted Development

I use AI tools such as Claude, GPT and GitHub Copilot for research, prototyping, debugging and code review. I treat generated code as a starting point and verify, modify and test it rather than blindly relying on it.

Projects

Things I've built and shipped.

Project 01 Featured
Boxing Training Tracker
Data-driven training tool for developing boxing performance.

Developed with input from boxing coaches to structure training around footwork, conditioning, endurance and power.

HTMLCSSJavaScriptLocal Storage

Current Features

  • Training tracking
  • Goal setting
  • Training recommendations
  • Progress monitoring
Future Direction — Not Yet Built Training analytics, performance visualisation, athlete-specific recommendations, and machine-learning experimentation. The current version does not use machine learning.
▶ Live Demo ⌥ GitHub Source
Project 02
Study Buddy
AI-powered study management application.

Built a browser-based study companion that helps students organise subjects, track goals and identify areas requiring additional attention.

HTMLCSSJavaScriptAI IntegrationLocal Storage

Features

  • Subject tracking
  • Goal tracking
  • Persistent local data
  • AI-assisted study recommendations
  • Responsive interface

What I Implemented

  • Frontend interface
  • Data management
  • Local persistence
  • AI integration
  • User workflow

What I Learned

  • Integrating AI into frontend applications
  • Managing persistent browser data
  • Designing around user workflows
▶ Live Demo ⌥ GitHub Source
Project 03
Stellar Astrology Website
Web Developer & Hosting Administrator

Developed and deployed a production website for Stellar Astrology, handling frontend development and hosting infrastructure.

HTML / CSSJavaScriptcPanelWeb HostingDomain / DNS

Responsibilities

  • Frontend development
  • Hosting configuration
  • cPanel management
  • Domain / DNS configuration
  • Deployment
  • Website maintenance
▶ Live Site
Project 04
Neon Blaster
Browser-based arcade shooter.

A browser-based arcade shooter built using HTML5 Canvas and JavaScript without a game engine.

HTML5 CanvasJavaScriptCSS3

Features

  • Wave-based enemies
  • Particle effects
  • High-score system
  • Canvas rendering
  • Keyboard controls

What I Learned

  • Game loops
  • Canvas rendering
  • Collision detection
  • JavaScript state management
▶ Live Demo ⌥ GitHub Source
Currently Learning

Active, not completed.

These are areas I'm actively working through, not qualifications I've finished.

Python Machine Learning Data Structures & Algorithms Statistics AI Systems
Technical Notes

Short write-ups on what I build.

I'll publish short write-ups here about things I build and learn. Nothing below is published yet.

How I built Neon Blaster without a game engineComing soon
Designing a boxing training data modelComing soon
What I learned deploying a production websiteComing soon
Building AI features into Study BuddyComing soon
Lessons from AI-assisted developmentComing soon
Feedback

Help me improve the work.

Let's build something useful.

Whether you're a professor, developer, student, researcher, or someone interested in one of my projects, I'm open to thoughtful conversations and academic collaboration.

Email Me GitHub
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