Description

Hi there - I’m Nazarii. I build AI systems that don’t just work on paper, but deliver real value to your business.

With over six years of experience across Germany, Poland, and other EU tech hubs, I’ve had the privilege of growing from a junior engineer to a Senior AI Software Engineer – and I still get genuinely excited about every new challenge.

My sweet spot is Generative AI, LLMs, RAG, and Agentic AI. Whether you need a chatbot that actually understands your documents, an autonomous agent that handles customer support, or a full AI platform from scratch – I’ll guide you from idea to production with clarity, warmth, and technical rigor.

I believe great engineering is also great communication. I’ll explain complex concepts without jargon, meet your deadlines, and treat your project like it’s my own. Let’s build something awesome together – and have fun along the way. 😊

Ready when you are. – Naz

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Software Mind
Junior AI Engineer – NLP & ML Pipelines
DIGITAL AND IT
July 2019 - August 2020 (1 year and 1 month)
Krakow, Poland
Transformer Models (2019): Experimented with BERT and GPT‑2 for sentiment analysis and text classification tasks, laying the foundation for later LLM work.
Data Pipeline Construction: Built ETL pipelines using Apache Airflow and Spark to preprocess 10+ TB of multilingual text data.
Model Deployment: Deployed first production ML model (a fine‑tuned RoBERTa for intent classification) using Docker and AWS ECS, achieving 99.9% uptime.
Mentorship & Growth: Rapidly advanced from junior to mid‑level engineer within 14 months, receiving “Rising Star” award for outstanding contributions.
LLM Data integration (ETL, ELT and data warehousing) Database Management (e.g., SQL, NoSQL) Python CI/CD Management
RheinData AI
AI Engineer – Generative AI & LLM Productization
DIGITAL AND IT
September 2020 - April 2022 (1 year and 7 months)
Cologne, Germany
Generative AI Adoption (2020): Built the company’s first GPT‑3‑powered text summarization and content generation features immediately after OpenAI’s May 2020 beta release.
LLM Pipeline Development: Created an end‑to‑end data pipeline for fine‑tuning GPT‑Neo and GPT‑J on customer‑specific documents, achieving 85% user adoption within three months.
Prompt Engineering Framework: Developed a prompt versioning and testing framework that reduced model output variability by 47%.
Platform Integration: Seamlessly integrated generative AI capabilities into existing microservices architecture using FastAPI and Redis, enabling real‑time inference at scale.
LLM External API integration AI Agent Microservices Architecture
Nordic AI Labs
Senior AI Engineer – RAG & LLM Pipeline Specialist
DIGITAL AND IT
May 2022 - January 2024 (1 year and 8 months)
Gdansk, Poland
RAG Architecture (2022): Implemented the Retrieval‑Augmented Generation framework (originally introduced by Lewis et al. in 2020) to ground LLM responses in proprietary company data. Designed a hybrid retrieval pipeline combining FAISS dense retrieval with Elasticsearch BM25, improving answer accuracy from 68% to 94%.
LLM Fine‑Tuning (2022): Fine‑tuned GPT‑3.5 and LLaMA 2 for domain‑specific question‑answering, achieving sub‑2‑second latency on CPU‑only deployments.
Gen AI Content Generation: Built a GPT‑4‑based report generation engine that automatically summarizes medical records and legal documents, saving clients 20+ hours per week.
Evaluation & Monitoring: Established RAGAS and TruLens evaluation pipelines to track hallucination rates, context relevance, and answer faithfulness.
LLM AI Agent Content Integration Data integration (ETL, ELT and data warehousing) Python