Programming Skills






C, Scala, Python

Web Development

React/React Native

Full-stack JavaScript

Big Data and Hadoop Ecosystem





Japanese Language Proficiency Test (JLPT) N2

Japan Foundation

Aug. 2017

TOEIC (985/990)


Nov. 2014 - Nov. 2016



Dec. 2012 - Dec. 2014

Certificates and Awards

Master's Studies Scholarship

Japanese Government (MEXT)

Apr. 2014 - Apr. 2017

Scholarship for Outstanding Students

Macedonian Government

Sep. 2011 - Jun. 2013

Programming in C# Specialist


August 2013

Microsoft Certified Professional


June 2013

Professional Experience

Tech Lead, Remote





Working together with other tech leads and the CTO in driving the architectural decisions in Juni. Leading 10 engineers across 3 teams (Insights, Integrations, and Automations), driving both architectural decisions, as well as helping team members with their career development. Established the engineering hiring processes, and have been interviewing for various roles, from FE engineers to VP of engineering.

Software Engineer, Remote





Working remotely as a full-stack software engineer. The main stack we use consists of TypeScript, NodeJS, and React. A large part of my work consists of implementing vertical features, usually spanning a large chunk of the stack. I also act as a lead engineer of balenaCloud's dashboard and Rendition (our UI components library), making sure that we maintain an architecture that can grow and scale over time. I have also been screening candidates during the first two hiring stages for frontend positions.

Software Engineer

Rakuten, Japan






Worked in a distributed team as a full-stack developer in the business intelligence support section, developing an internal business intelligence web application aimed at the e-commerce business consultants. The technical tasks included efficiently aggregating the vast amount of data in Rakuten using Hive and Hadoop, creating API's to serve the data to our and other projects, and building the front-end and creating effective visualizations using React. I introduced modern development tools to the project (such as ESlint and Prettier), rearchitected the entire web application and Redux store, and brought unit and E2E test coverage from 0% to 30%.

Software Engineer (full-time intern)

Rakuten, Japan



Worked on the company's global business intelligence service. Built an API service using Scala, Finagle and Thrift. The work included tasks such as writing a cache from scratch, managing concurrency, and data source retrieval from multiple sources, among other tasks. Moreover, created a chart on front-end in JavaScript with data switching, series selection, automatic reload, and client-side localization features. It was developed in a modular manner, as a client to the previously mentioned service.

Software Developer (part-time)

Particles, Macedonia





Worked mainly with C#, Microsoft Technologies (.NET Framework, ASP.NET MVC, WCF, Windows Mobile 6), Database Systems (MySQL, SQLite), JavaScript, HTML, and CSS, using Agile development methodology. Mainly worked on a smart water metering information system. Participated in the whole development cycle, from planning, to documentation and maintenance. Solely planned, designed, and implemented the on-field handheld device software (Windows Mobile 6) as part of the system, and partially implemented and maintained the central software (web solution). Furthermore, worked on the security of the metering devices, and supervised 2 interns during the summer of 2012.


Master's in Software Engineering

Nara Institute of Science and Technology (NAIST), Japan

Research Student

Nara Institute of Science and Technology (NAIST), Japan

Intensive Japanese Language Course

Osaka University, Japan

Bachelor's in Networks and Security

UIST "St. Paul the Apostle", Macedonia

GPA 9.93/10. Graduated with honors.


Aida - Unified Data Modeling

Personal project



Aida is a data and endpoint modeling tool. You can document your data models from different parts of the system in one place and share commonalities between them, representing a single source of truth. It allows you to unify how your data models and endpoints are defined, with all the necessary metadata being co-located. The project was started to speed up development on a personal project and it was recently open-sourced. More details here.


Personal project





EyeNav is a plugin that allows you to do simple navigation in the editor using an eye-tracking device, written in JavaScript. It allows you to scroll, click, select text, and more using your eyes and keyboard shortcuts. More details here.


Personal project



React Native


A project with a goal to automate my small apartment. It controls the lights, airconditioning, and music player. It is controlled by a motion sensor, hardware buttons, and a mobile application developed with JavaScript and React Native. More details here.

Lego Mindstorm Mars Rover

NAIST, Japan; Japan Airspace Exploration Agency (JAXA), Japan




Project done in cooperation with JAXA (Japan Aerospace Exploration Agency) with a goal of creating a mars rover using Lego Mindstorm, while going through all stages of software engineering. The system is compromised of 2 parts: a ground station software, meant to communicate with the rover (written in JavaScript); the mars rover software, meant to autonomously run a 2-stage course terrain (written in C). I was the project leader, managing the tasks among the four team members and collecting requirements from JAXA. I implemented the ground station and took part in the writing of the communication part of the rover software. Project was done in Japanese. More details here.


Investigating Code Examples: Coverage Metrics and Trait Patterns

NAIST (Master's Thesis)

This paper aims at improving our understanding of code examples. Consisting of two studies, the first study is concerned with investigating the current situation of coding examples, common problems, and potential metrics that can be used to evaluate examples. The second study is concerned with collecting code examples data to be used for further analysis, definition of traits and features for code examples, creation of code example clusters, and analysis of the patterns that emerge from existing examples. Results show that current example vary in both quantity and quality. Moreover, three patterns with two subpatterns per pattern emerged, which can be used to categorize examples and further used to develop automated example evaluation tools.

EyeNav: Gaze-Based Code Navigation

Nordic Conference on Human-Computer Interaction (NordiCHI) 2016

Navigating source code is at the core of software development, consuming a significant amount of time and effort. Navigation is typically done using the mouse, which in many cases may not be efficient and usable, as it causes context switching and interruptions. EyeNav brings eye tracking to code editors. It allows for a more natural source code navigation, controlled by the developer's gaze and keyboard shortcuts. It is a production-ready plugin that allows anyone with an eye tracker to start using it immediately. Demo video and source code.

Towards Building API Usage Example Metrics

Conference on Software Analysis, Evolution, and Reengineering (SANER) 2016

It is not unreasonable to say that examples are one of the most commonly used knowledge sources when learning the usage and best practices of a new API. In order to resolve the problem of lacking examples information and feedback in their creation, our goal is to develop metrics for empirical measurement of examples and to offer support during the APIs example creation steps. This paper represents an exploratory study of the current situation of examples, while introducing potential metrics for measuring examples.

Real-time monitoring of neural state in assessing and improving software developers' productivity

Cooperative and Human Aspects of Software Engineering (CHASE) 2015

Productivity has always been considered a crucial factor for the success of any business, and the same applies to software development. As a result of software development being almost entirely a cognitive task, problems in cognition highly correlate to problems in productivity. In order to detect cognitive failures, fatigue, and lack of attention, we propose a conceptual model of a system for continuous monitoring of developers' neural state using an off-the-shelf device.

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