Looking for a job

Sunila Maharjan

@sunilamaharjan

Application Developer at Easy Event, applying software engineering and healthcare machine learning research to practical applications.

United Kingdom

Message

What I'm looking for

I'm motivated to grow into production-grade applied AI and Generative AI engineering.

At Easy Event, I develop and improve a web application for a local council project, turning requirements into maintainable features. I contribute across application logic and user-facing functionality, and take part in code reviews, testing, and accessibility checks.

At London Metropolitan University, I worked on diabetes and Vitamin D healthcare analytics, preparing and analysing datasets for machine-learning and predictive-analysis tasks. I also contributed to peer-reviewed research, including work associated with the Smart Glove publications, and hold an MSc in Artificial Intelligence with Distinction.

Experience

Work history, roles, and key accomplishments

Current

Application Developer

Current

Easy Event - London Metropolitan University

Oct 2025 - Present (1 year)

Develop and improve a web application for a local council project, translating requirements into maintainable application features. Lead team activities including code reviews, Git-based collaboration, testing and accessibility checks.

JavaScript HTML5 Git Testing Accessibility Code Review Debugging Continuous Improvement

Research Assistant / Team Lead - Healthcare Data Analytics

London Metropolitan University

Jan 2025 - Jun 2025 (5 months)

Led analytical work for a diabetes-focused healthcare research project, coordinating technical activity and communicating findings. Used Python-based workflows to prepare, clean, validate and analyse research datasets for machine-learning and predictive-analysis tasks.

Python Data Cleaning Data Validation Exploratory Analysis Predictive Analysis scikit learn Machine Learning Repeatability Data Quality Communication Skills

Research Assistant - Vitamin D Healthcare Analytics

London Metropolitan University

Jan 2024 - Jul 2024 (6 months)

Analysed healthcare data using Python-based data-science techniques, including cleaning, validation, exploratory analysis and statistical investigation. Supported predictive analysis and interpretation of model and data outputs, producing visual and written findings for research use.

Python Data Cleaning Data Validation Exploratory Analysis Statistical Analysis Predictive Analysis Data Visualization Research Documentation

Software Developer - C#/.NET

Previous Software Development Experience, Nepal

Jan 2018 - Dec 2021 (3 years 11 months)

Developed and maintained applications using C#, ASP.NET, SQL and relational databases. Worked with application logic, database operations and API-based functionality, building a strong foundation in backend development.

C#ASP.NET SQL Relational Databases Application Logic Database Operations APIs Debugging Testing Collaboration

Education

Degrees, certifications, and relevant coursework

London Metropolitan University

Master of Science, Artificial Intelligence

Grade: Distinction

MSc in Artificial Intelligence with Distinction, covering machine learning, predictive analytics, deep learning, NLP, computer vision, and data analytics.