Vasileios Verykokos

Vasileios Verykokos

Larissa · Athens · open to remote · Military obligations fulfilled

Applied Informatics graduate from the University of Macedonia. I build systems that model something real: wildfire spread over live terrain data, and a market-signal engine that only speaks when something has actually changed.

First place, Huawei ICT Competition World Final 2026 — Shenzhen.

Vasileios Verykokos

Recognition

Competition results

  1. June 2026

    1st place — Huawei ICT Competition, World Final

    Innovation Track. Shenzhen, China, with team AEGIS. [[ B2 — 1st of N teams from M countries ]]

  2. May 2026

    1st place — Huawei ICT Competition, European Final

    Innovation Track, with team AEGIS. [[ B2 — N teams ]]

  3. December 2025

    1st place — "Unboxed by PwC" AI Hackathon

    With team AEGIS.

  4. September 2026

    Exhibitor — Thessaloniki International Fair

    Showcased AEGIS with the team.

  5. 2021 — present

    Scholarship — Municipality of Larissa

    For academic performance at secondary school and university.

Selected work

What I've built

AEGIS

Crisis management platform 2025—2026 Sole developer of the entire interface

An operations centre for rescue teams, plus a companion app that lets citizens report incidents — built for the Huawei ICT Competition Innovation Track and taken to first place at both the European and World finals.

The hard part

Predicting where a wildfire goes next, in a browser, with no server behind it. I implemented the Rothermel spread model with slope correction, feeding it 30-metre elevation data from ASTER and hourly wind forecasts from Open-Meteo, then used Turf.js to turn the model output into geometry the map could actually draw: four-hour prediction zones, directional fire rays, and downwind ember-spotting polygons. It runs entirely client-side, so the operations centre keeps working when connectivity doesn't.

Technical detail

Also built

  • Tactical Leaflet map — drawing tools, route plotting, heatmaps, live satellite fire hotspots from NASA FIRMS
  • Voice control in six languages via the Web Speech API
  • Edited the demo videos presented at the European and World finals
Role
Sole developer — full interface, both applications
Stack
React · Leaflet · Turf.js · Web Speech API
Data
ASTER 30 m DEM · Open-Meteo · NASA FIRMS
Model
Rothermel spread with slope correction, 4-hour horizon
Scope
Operations centre + citizen companion app · 6 languages
Result
1st place — Huawei ICT World Final, Shenzhen
  • The AEGIS team with their medal at the Huawei ICT Competition World Final, Shenzhen
  • The AEGIS team at the Huawei ICT Competition World Final in Shenzhen

Signal

Stock technical-analysis dashboard 2026 Solo

A dashboard that watches a watchlist of symbols and tells you when something actually changed — not one that repeats the same alert every day.

The hard part

A naive indicator dashboard says "RSI is overbought" every day until it isn't, which trains you to ignore it. I built the signal engine as a state machine over the indicator series: it fires on transitions — a moving-average crossover, a MACD cross, the moment price crosses into an overbought band — and stays silent while a condition merely persists. All 14 indicators are implemented from scratch rather than pulled from a library, which is the only way I'd trust the transition boundaries.

Technical detail

Also built

  • 14 indicators from scratch — RSI, MACD, Bollinger Bands, Stochastic, and others
  • Live prices from the Twelve Data API with a CSV path for offline use
  • Symbol comparison, watchlist, date filtering, chart export
Role
Solo
Stack
React · TypeScript · Recharts
Data
Twelve Data API · CSV fallback
Core
14 indicators implemented from scratch
Design
Transition-triggered signal engine — no repeat alerts

I also built a small CRM for my own use — client records, documents, and reminders for recurring tasks, running locally. Java · Spring Boot · React · PostgreSQL · Docker Compose

Tools

What I work with

Languages
  • Java
  • Python
  • TypeScript
  • JavaScript
  • SQL
  • C
Backend
  • Spring Boot
  • REST APIs
  • JWT
  • JUnit
  • Maven
Frontend
  • React
  • Vite
  • Tailwind CSS
  • Leaflet
  • Recharts
Data
  • PostgreSQL
  • Supabase
  • Pandas
  • NumPy
Tools
  • Git
  • Docker
  • Linux
  • BPMN
  • DMN

About

A bit more

I finished Applied Informatics at the University of Macedonia in 2026 with a GPA of 8.23, specialising in information systems. Most of what I've learned came from building things that had to work in front of judges or in front of a real user, on a deadline — a wildfire model that had to render in seconds, a platform that had to keep one firm's data away from another's.

I'm drawn to problems where the software has to model something real and be honest about uncertainty. I'm equally happy in a Spring Boot service or a React interface, and I'm actively working toward AI/ML.

Outside work: music, team sports, travel, and the friends who put up with me talking about fire-spread models.

Background

Education and Work Experience

  • 2022 — 2026

    University of Macedonia, Thessaloniki

    BSc Applied Informatics — Information Systems · GPA 8.23

  • 2022 — 2023

    Seasonal summer employment, water park — tourism entertainment company

  • English — C2, Certificate of Proficiency

  • Military obligations — fulfilled

Contact

Get in touch

I'm looking for a junior role in frontend, backend, or AI/ML — in Larissa, Athens, or remote. The fastest way to reach me is email.