Work Experience

Developed deterministic simulation engine using YAML configuration files and XState v5 state machines, modeling medical scenarios in real-time and serving >50 concurrent learners simultaneously

Architected natural language processing pipeline using LangChain and LLaMA 3 chatbot with 95% accuracy mapping multilingual text to clinical actions across English, Finnish, and other languages

Exposed RESTful APIs on Node.js secured with JWT authentication, achieving 80% Jest test coverage for reliable medical education deployment

Implemented xAPI standard for comprehensive interaction logging on PostgreSQL, enabling detailed learning analytics and research data collection for educational institutions

Created admin interface for case management with onboarding documentation and Postman API suites, allowing instructors to upload scenarios and monitor running simulations

Integrated PostgreSQL database with optimized queries for storing simulation states, user progress, and detailed interaction histories

Collaborated with medical educators to ensure clinical accuracy and pedagogical effectiveness of simulation scenarios

Refactored legacy jQuery modules into modern React + TypeScript components, cutting bundle size by 30% and reducing bugs while improving maintainability and performance

Built motivational-modelling graph tool with MaxGraph visualization library, now used by 200+ University of Melbourne IT capstone students for stakeholder analysis

Implemented advanced graph visualization features including node positioning, connection routing, theme switching, and data export functionality

Practiced two-week Scrum sprints with the development team, leading backlog refinement sessions and demo presentations with client stakeholders

Collaborated directly with the subject coordinator to align tool functionality with curriculum requirements and learning objectives for the capstone subject

Created accessible solution that students can deploy locally, supporting project planning workflows and team collaboration for undergraduate computer science students

Bootstrapped Azure-funded SaaS platform through Microsoft for Startups funding and Azure credits, validating innovative AI approach to personalized learning

Deployed Flask REST API + React dashboard on Azure App Services with data storage in Azure Storage, creating scalable cloud-native architecture

Developed intelligent content processing pipeline that extracts key concepts from PDFs, lecture notes, and textbooks using Azure Document Intelligence and OpenAI APIs

Integrated Google OAuth2 for role-based access control, successfully onboarding 50+ pilot users with secure authentication and authorization

Built adaptive quiz generation system that creates contextual questions based on student learning materials and comprehensive content analysis

Designed analytics dashboard showing learning patterns, knowledge gaps, and progress tracking with data visualization for educational insights

Completely eliminated paper-based attendance and scheduling systems, improving operational efficiency by an estimated 70%

Built role-based authentication system with separate interfaces for administrators and students with appropriate permission levels

Developed automated attendance tracking with real-time updates and CSV export functionality for payroll integration

Implemented responsive design using React Native ensuring usability across desktop, tablet, and mobile devices for on-the-go staff management

Created comprehensive admin dashboard with scheduling overview, staff availability management, and reporting capabilities

Deployed secure production environment with data backup systems and user training for smooth organizational transition