I'm a software engineer who likes understanding the whole picture. What does a stakeholder really need? Where is a process getting in the way? And how can the software make the next decision easier?
My background spans frontend and backend development, from shaping APIs and data models to building interfaces, testing, and shipping. I’m drawn to dense data, layered systems, and the numbers people make real decisions with. My job is to make that feel calm and clear.
At Lighthouse, I’m the sole frontend engineer on my team. I scope features, collaborate on API design, and own delivery while helping move an Ember.js product toward React and TypeScript. Before that, I worked across a Python and Vue.js data platform at IMDC.
I bring critical thinking to architecture, care to maintainability, and curiosity to conversations with the people using the product. AI helps me explore and move faster; the engineering judgment stays mine.
02 / EXPERIENCE
Where I've been building
Different domains. The same focus: understand the problem, build thoughtfully, and own the outcome.
Own frontend delivery from feature scoping and stakeholder needs to API collaboration, implementation, testing, and release.
Build and maintain Ember.js applications with TypeScript, applying state-management patterns and improving foundations as the product grows.
Develop features in React 19 and TypeScript as part of the migration from Ember.js, using TanStack Router, Query, and Form, Vite, and Vitest.
Translate complex analytics into useful interfaces: time-series charts, hierarchical tables, contextual tooltips, and validated data-import flows.
Build permission-aware experiences and activity history; improve state management and CSS architecture, and develop internal tooling used across the team.
Use code review, automated testing, feature flags, and adoption tracking to support maintainable software and staged delivery.
Ember.jsReactTypeScriptTanStackVitest
IMDC
Full Stack Software Engineer
Water engineering · Business processes · Data visualization
Work across Python and Django REST Framework APIs and a Vue.js/JavaScript frontend on a small team building a water-engineering data platform.
Handle large volumes of time-series data and present them in graphs that help users interpret changing water conditions.
Build applications supporting government offices monitoring water levels, connecting complex environmental data with operational decisions.
Understand stakeholder workflows and translate requirements into practical software improvements, moving between frontend and backend as the product needs.
PythonDjango REST FrameworkVue.jsJavaScriptTime-series data
0smosis
Full Stack Software Engineer
Full-stack development · Seven-month role
Build across Python and Django REST Framework services and Angular interfaces with TypeScript.
Connect backend functionality with frontend experiences, translating application requirements into working software.
PythonDjango REST FrameworkAngularTypeScript
03 / SKILLS
The tools. And the thinking.
A broad technical foundation, with a focus on making the right things work well together.
⌘
Frontend
React · TypeScript · Ember.js · Vue.js · Angular · JavaScript · TanStack Router, Query, Form & Table · Vite
⌥
Backend & data
Python · Django REST Framework · PostgreSQL · API design · Data modeling · Time-series visualization
AI is part of my everyday workflow. I use it to explore options and reduce repetitive work, then apply the same care to architecture, behavior, and quality.
01
Planning & scoping
Talk through requirements, data shapes, and edge cases. Turn a vague ticket into a clear approach and meaningful validation cases.
02
Code generation
Draft typed schemas, API wrappers, and repetitive UI scaffolding, then shape the implementation to fit the system’s patterns.
03
Refactoring
Explore ways to simplify complex code while preserving behavior and keeping responsibilities clear.
04
Testing
Draft tests around real behavior, challenge assumptions, and keep the checks that catch meaningful failures.
05
Review & documentation
Take a second pass before code review and create readable documentation for data models, decisions, and conventions.
Scope→Draft with AI→Shape by hand→Test→Review→Ship
05 / EDUCATION
A foundation beyond the code
University of Tartu
Master’s degree · Software Engineering
Practical, project-based study connecting software engineering with product and business needs. Areas of study included machine learning, data visualization, software product management, systems modeling, and business-process modeling, management, and optimization.