WORK
I build products and systems around learning, AI, public technology, and opportunity.
SELECTED WORK
6 recordsLuckGraph
I am currently building LuckGraph as an MVP.
This will become a public build record: the problem, the first version, what people actually do with it, what changes, and what I learn along the way.
The product’s specific public description, tests, and build notes will be added as they are ready to share.
TextLowkey
TextLowkey is an independent project currently being developed.
Its public record will follow the question behind the product, what users struggle with, what makes it useful, and what is tested next.
AI Automation at UVC Partners
I work on AI automation at UVC Partners, building AI and data infrastructure that helps the team work with more leverage.
The work sits at the intersection of automation, data quality, workflow design, and human judgment. The goal is not to automate decisions that require context; it is to remove repetitive work so people can spend more time on the work that matters.
Focus
- AI and data infrastructure
- Automation of internal workflows
- Process improvement and operational leverage
- Building systems that remain useful, reliable, and human-led
Some work is necessarily private. This is a public record of the questions and lessons that can be shared without exposing confidential information.
Suapr
Suapr was an AI-powered learning platform that I co-founded and led as part of an eight-person cross-functional team.
We built learning experiences for more than 300,000 people across three countries. My work covered the product, the team, the operating system around the company, and the partnerships required to make the platform grow.
What I worked on
- Growing the product to 300,000+ users across three countries
- Leading a cross-functional team of eight
- Building subscription models and KPI dashboards
- Managing partner and stakeholder communication
- Learning what makes people return to an educational product
What Suapr taught me
Learning products are not only about content. They are about motivation, trust, feedback, habit, and the feeling that progress is possible.
That is why Suapr remains important to the rest of my work: it made me care deeply about how technology can help people learn without reducing learning to engagement metrics.
I-VOTE
I founded I-VOTE, a digital student voting platform designed to make participation simpler, more accessible, and more trusted.
The platform became the first digital student voting system in Southeastern Europe. In less than eight months, it reached more than 300,000 users and was implemented across 85+ schools.
What I worked on
- Founding and leading technical development
- Building and implementing the voting platform
- Working across 85+ schools
- Scaling to 300,000+ users
- Leading negotiations and finalising the acquisition by the Council of Europe
What I-VOTE taught me
Technology becomes more difficult when it affects trust.
A voting platform cannot only be easy to use. People need to understand it, believe in it, and feel that the system treats them fairly. I-VOTE was my first serious experience of building technology with public consequences.
Technology, Learning, and Public Systems
Alongside product building, I have worked and spoken on the relationship between technology, learning, participation, and public institutions.
Selected work
- Vice President and Head of the Digitalization Commission, Albanian Youth Parliament
- Keynote speaker on the integration of AI in education, Google DevFest Tirana
- Panelist, World Forum for Democracy, Council of Europe, Strasbourg
- Workshop leader, Summer Camp on E-Democracy, Council of Europe
- Speaker and workshop leader, EU Mobility Trip, Spain
Publication
Can AI/ML Algorithms Make Learning as Addictive as Social Media?
Research on AI/ML-driven learning experiences, supported by €35,000 in government funding to develop features that make learning more engaging.
EXPERIMENTS
Not every useful project becomes a company.
This is where smaller systems, prototypes, research tools, and unfinished ideas live. Some will become more. Others will fail quickly. Both belong in the record.
Experiment · What I was testing · What happened · What I learned · Status