VD®CV
AI ENGINEER LINZ, AUSTRIA

Vladyslav
Dykyi.

I build AI that works
beyond the prototype.

Five years in software. My work connects language models, reliable backend systems and cloud infrastructure — from intelligent voice assistants to production tools.

LLMs & agentsRetrieval systemsCloud & edge AI

01 / SELECTED WORK

Built from the ground up.

02

Adify AI

Music discovery in your own words.

Natural-language music search using embeddings and hybrid retrieval, with automatic playlist creation through the Spotify API.

Sentence Transformers / Qdrant / FAISS / Spotify API

03

Universe

Multiple models. One conversation space.

A unified chat interface for multiple LLM providers, with real-time streaming, concurrent conversations and persistent history.

Python / Flask / OpenAI / Anthropic / Streaming

02 / EXPERIENCE

Research to production.

FEB 2026 — PRESENT

Production Engineer

Tractive · Linz, Austria

Python automation and diagnostic tooling for manufacturing. Internal Flask APIs, MongoDB analytics and root-cause investigation to improve production reliability.

SEP 2024 — SEP 2025

AI Engineer

LORATech e.U. · Linz, Austria

Worked as an AI engineer within the LORATech team, developing LORA Cube’s agent architecture, semantic memory and resilient workflows with checkpointing, retries and recovery. Shipped Docker and Kubernetes services, Terraform infrastructure, CI/CD pipelines and quantized edge models.

MAR 2024 — DEC 2025

AI Engineer

Johannes Kepler University Linz

Developed an AI platform giving students access to domain-specific conversational agents for biology and other academic disciplines.

2022 — 2024

Freelance Backend Developer

Upwork · Remote

Built FastAPI and Flask services, database integrations, RAG retrieval, data pipelines and automation for international clients — from requirements to deployment.

2021 — 2022

Python Developer

National University “Odesa Law Academy”

Python applications, Telegram bots and an AI travel assistant, supported by web-scraping and data-processing pipelines.

03 / CAPABILITIES

The tools behind the work.

Generative AI

LLMs, RAG, LangChain, LangGraph, multi-agent systems, MCP, tool calling, guardrails, structured outputs and evaluation.

Retrieval & search

Qdrant, FAISS, Sentence Transformers, embeddings, semantic search, vector search and hybrid retrieval.

Backend engineering

Python, JavaScript, FastAPI, Flask, REST APIs, MongoDB, SQL, API integration and web scraping.

Cloud & MLOps

Docker, Kubernetes, AWS, GCP, Terraform, CI/CD, Weights & Biases, DVC and observability.

Edge & voice

Raspberry Pi, GGUF, ONNX Runtime, model quantization, wake-word detection, VAD, ASR and TTS.

04 / EDUCATION

BSc, Artificial Intelligence

Johannes Kepler University Linz

BSc, Economics

Odesa National Economic University

LANGUAGES

Ukrainian
Native
Russian
Fluent
English
C1
German
A2

LET’S CONNECT

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in mind?