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Graduate Software Engineer

Hey, I'm Jeevan
Graduate Software Engineer

Full-stack focused. UI-minded. AI-curious.

I build responsive web apps and reliable APIs with clean, maintainable code. I like turning real-world requirements into simple user experiences and scalable systems.

Email: jvnrisal@gmail.com | Phone: 0430 608 069

Building software teams can rely on

Engineering Fundamentals

  • Clean, maintainable code
  • SDLC awareness, Agile exposure
  • Testing foundations, code reviews
  • Client-server architecture, REST

Full-Stack Delivery

  • React + responsive UI
  • Node.js/Express APIs
  • MongoDB + SQL concepts
  • Debugging, integration, deployment awareness

Data + AI Curiosity

  • Practical ML exposure and data workflows
  • Validation, explainability, confidence scoring
  • Privacy-conscious approach (synthetic data)

Projects

Focused on practical delivery, maintainable code, and clear problem framing.

Personal Finance Management System

Full-stack

Full-stack app built with modular services and scalable routing for day-to-day financial workflows.

  • REST APIs with structured data handling for accounts, budgets, and transactions.
  • Service-oriented code organization for maintainability and growth.
JavaScriptNode.jsMongoDB

Transaction Categorisation System (Research-driven)

Data

Research project defining a rule-based transaction categorisation framework for synthetic banking statements with auditable labels for spending analysis.

  • Built a rulebook with 10 top-level categories and 27 transaction types to classify transactions as Essential, Non-Essential, or Excluded.
  • Annotated a 5,000-row subset (500 rows across 10 files) from a 33,868-row synthetic transaction dataset for validation and downstream use.
  • Produced categorized CSV outputs suitable for budgeting analysis and future ML/NLP-based automation experiments.
PythonCSV ProcessingRule-Based ClassificationData Annotation
CodeComing soon

Recipe & Image-Based Web Application

Frontend

A full-stack Node.js application that generates recipes from uploaded food images. The system detects ingredients using image recognition and dynamically creates structured recipes through a modular backend API. Built with Express, RESTful architecture, and CI/CD deployment setup.

  • Upload food images for automated ingredient detection
  • Server-side image analysis
  • Dynamic recipe generation logic
  • Modular backend structure
JavaScriptFrontend UIAPI Integration
CodeComing soon Demo coming soon

Personal Finance Management System

Full-stack

Full-stack app built with modular services and scalable routing for day-to-day financial workflows.

  • REST APIs with structured data handling for accounts, budgets, and transactions.
  • Service-oriented code organization for maintainability and growth.
JavaScriptNode.jsMongoDB

Transaction Categorisation System (Research-driven)

Data

Research project defining a rule-based transaction categorisation framework for synthetic banking statements with auditable labels for spending analysis.

  • Built a rulebook with 10 top-level categories and 27 transaction types to classify transactions as Essential, Non-Essential, or Excluded.
  • Annotated a 5,000-row subset (500 rows across 10 files) from a 33,868-row synthetic transaction dataset for validation and downstream use.
  • Produced categorized CSV outputs suitable for budgeting analysis and future ML/NLP-based automation experiments.
PythonCSV ProcessingRule-Based ClassificationData Annotation
CodeComing soon

Recipe & Image-Based Web Application

Frontend

A full-stack Node.js application that generates recipes from uploaded food images. The system detects ingredients using image recognition and dynamically creates structured recipes through a modular backend API. Built with Express, RESTful architecture, and CI/CD deployment setup.

  • Upload food images for automated ingredient detection
  • Server-side image analysis
  • Dynamic recipe generation logic
  • Modular backend structure
JavaScriptFrontend UIAPI Integration
CodeComing soon Demo coming soon

Personal Finance Management System

Full-stack

Full-stack app built with modular services and scalable routing for day-to-day financial workflows.

  • REST APIs with structured data handling for accounts, budgets, and transactions.
  • Service-oriented code organization for maintainability and growth.
JavaScriptNode.jsMongoDB

Transaction Categorisation System (Research-driven)

Data

Research project defining a rule-based transaction categorisation framework for synthetic banking statements with auditable labels for spending analysis.

  • Built a rulebook with 10 top-level categories and 27 transaction types to classify transactions as Essential, Non-Essential, or Excluded.
  • Annotated a 5,000-row subset (500 rows across 10 files) from a 33,868-row synthetic transaction dataset for validation and downstream use.
  • Produced categorized CSV outputs suitable for budgeting analysis and future ML/NLP-based automation experiments.
PythonCSV ProcessingRule-Based ClassificationData Annotation
CodeComing soon

Recipe & Image-Based Web Application

Frontend

A full-stack Node.js application that generates recipes from uploaded food images. The system detects ingredients using image recognition and dynamically creates structured recipes through a modular backend API. Built with Express, RESTful architecture, and CI/CD deployment setup.

  • Upload food images for automated ingredient detection
  • Server-side image analysis
  • Dynamic recipe generation logic
  • Modular backend structure
JavaScriptFrontend UIAPI Integration
CodeComing soon Demo coming soon

Experience

HS Creations - Admin / Graphics Design

2024-Present

  • Managed client communication, order operations, and delivery coordination.
  • Supported invoicing workflows and improved day-to-day cross-team handoffs.

Wrapsy Tech Nepal - Owner / HR

2022-2023

  • Secured investment and supported business growth through client acquisition.
  • Led hiring and team coordination across project delivery and operations.

LastDoor Solutions - Frontend Intern

2021

  • Built UI features with HTML, CSS, SCSS, JavaScript, and BEM conventions.
  • Worked in Agile SDLC workflows with feedback cycles and code collaboration.

Education

Master's in Information Technology

University of Technology Sydney (UTS)

2024-2025

BSc (Hons) Computer Science

University of Wolverhampton

2019-2022

Contact

Bringing clean systems to life.

Let's build something useful.

Available for graduate software opportunities across product teams, agencies, enterprise, and mission-driven organizations.