Arseniy K.

Arseniy Kirykouski · AI engineer, Milan

I build AI systems that see, read and act, then ship them to production.

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From researchto runtime.

I’m Arseniy, a final-year AI student in Milan and Member of Technical Staff at Veliu, where we build the agentic commerce layer. I work the whole path: models, evals, APIs and the interface people touch. Hackathons are where I test ideas against a deadline; a few ended on the podium.

My journey
Retail products scanned by lines of light and wired to a central agent node
Member of Technical Staff since April 2026, building agentic commerceExperience →

Featured
Work

Selected builds, from hackathon weekends to production. Models, agents and the products around them.

Two particle sound waves colliding over a boardroom table in a burst of paper fragments
2nd in two Vultr categories + DeepMind prize, Milan AI Week

→Live Context Collision2026

Real-time meeting agent that surfaces conflicting organizational memory while a decision is still being made: a prior legal block, a capacity conflict, a decision the company already reversed.

A closed laptop with a ring of private health notes orbiting a padlock above it
Submission, Google $100K hackathon

→Clario2026

Local-first symptom diary. A fine-tuned Gemma model reads the patient’s own timeline (notes, labs, photos) and flags patterns that are easy to miss in a 15-minute appointment.

Winner, Sopra Steria International Student Challenge

→Reviva2024–25

Post-stroke rehabilitation from a smartphone camera. OpenCV movement recognition plus a custom PyTorch model that gives patients real-time exercise feedback from visual data alone.

→SMP2DIAG2025

Clinical NLP classifier predicting 22 medical diagnoses from patient symptom descriptions (GretelAI dataset, 1,065 samples). Fine-tuned transformer models: BERT/ClinicalBERT (97% acc, F1=0.97) and Flan-T5 (94% on validation), outperforming classical baselines.

→Bike Sharing Demand Prediction2025

Regression models to predict hourly London bike sharing demand from weather, time and calendar features. Compared linear regression, ElasticNet, Random Forest and XGBoost with nested cross-validation; a tuned Random Forest reached RMSLE 0.30 on the test set (a log-scale error; lower is better).

More on GitHub ↗akirykouski

Five years of
turning questions
into systems.

2021

01 / 05 · 2021 · Tbilisi

International Baccalaureate

42/45, top 3%. Maths and physics focus.

2023

02 / 05 · 2023 · Milan

BSc Artificial Intelligence

Joint degree across Pavia, Milano Statale and Milano-Bicocca. GPA 27/30, ML & DL 27, statistics 28.

2024

03 / 05 · 2024 · Reviva

Team lead, computer vision

Stroke-rehab movement recognition from a phone camera, trained on visual input alone. Winner, Sopra Steria International Student Challenge. Separately, 3rd of 250 at EIT Health i-Days with an LLM MVP.

2025

04 / 05 · 2025 · Madrid · Bologna

Podiums and a 97% model

3rd of 850 at EIT Health i-Days Madrid with Reviva. Won the Biomedicine & AI track at Bologna StartUpDays. BERT/ClinicalBERT at 97% accuracy (F1 0.97) on 22 diagnoses.

2026

05 / 05 · 2026 · Veliu

Member of Technical Staff

Production LLM and agent systems for agentic commerce. At Milan AI Week 2026: 2nd in two Vultr categories and a Google DeepMind special-track prize.

Journey
2021 → 2026

Next chapter

Your team?

Experience

Retail products scanned by lines of light and wired to a central agent node
Current

Apr 2026 – Now · Milan, Italy

Veliu

Member of Technical Staff

Veliu is an agentic commerce lab: it makes brand catalogs readable and buyable by AI shopping agents.

  • Build production LLM and agent systems, from prototype to deploy
  • Design the evaluation and tooling used internally to inspect, compare and improve live product surfaces
  • Ship TypeScript and Python across data pipelines, APIs and CI
TypeScriptPythonLLMsAgentsPlaywrightSupabase

2024 – 2025

Reviva

Team Lead

Co-led the ML and computer-vision pipeline for an AI-powered post-stroke rehabilitation app: patient movement recognition from smartphone camera data, with real-time exercise feedback from visual input alone.

PythonOpenCVPyTorchHugging Facescikit-learn

Recognition

  • 2026Milan AI Week hackathon (AI Olympics)2nd in two Vultr categories and a Google DeepMind special-track prize with Live Context Collision, a real-time meeting agent2nd ×2 + DeepMind prize
  • 2025EIT Health i-Days2025 edition, Reviva: core idea and functional demo3rd of 850
  • 2025Bologna StartUpDays, Biomedicine & AI trackWorking real-time prototypeTrack winner
  • 2024–25Sopra Steria International Student ChallengeReviva, post-stroke rehabilitation appWinner
  • 2024EIT Health i-Days2024 edition: MVP with an LLM API3rd of 250

Toolbox

Programming

PythonTypeScript

ML / Data

pandasNumPyscikit-learnPyTorchXGBoostHugging Face TransformersOpenCV

Techniques

supervised learningembeddingstransformersmodel evaluation (MSE, RMSE, R², F1)

Tools

Next.jsReactSupabasePostgreSQLGitHub ActionsPlaywrightGit

Education

  • 2023 – Present

    B.Sc. Artificial Intelligence

    University of Pavia · Univ. of Milan · Univ. of Milano-Bicocca

    GPA 27/30

  • 2021 – 2023

    International Baccalaureate

    New School, International School of Georgia

    42/45, top 3%

Languages

  • English

    C1

  • Italian

    B1

  • Russian

    Native

  • Belarusian

    Native

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