Андрій

Andrii Haliborshch
Prompt Engineer | AI Integrator | AI Automation Specialist

Contacts

Odesa, Ukraine

Phone: [open contact info](look above in the "contact info" section)

Email: [open contact info](look above in the "contact info" section)

Telegram: @annndrew3

LinkedIn: [open contact info](look above in the "contact info" section)

GitHub: https://github.com/annndrey3

Objective

To work at the intersection of AI tools and real-world applications. I focus on prompt engineering, embedding

models, fine-tuning LLMs, and automating workflows using no-code/low-code tools. I aim to bridge business

needs with smart AI integrations using GPT-based models and automation platforms like Make and n8n.

Key Skills

- Prompt design & optimization for AI models

- Fine-tuning language models and training LoRA adapters

- Creating and managing text/image/audio embeddings

- Vector search and similarity via FAISS / pgvector / Pinecone

- Automation workflows: Slack + Make, n8n

- Local GPU inference: Whisper, TTS, Stable Diffusion

- Full Stack Support: FastAPI, React, Tailwind, MongoDB, REST API

- Basic scripting in Python for tasks, data formatting, and API usage

- Google Sheets API integration, PDF & analytics report generation

- Understanding of model architecture, tokenization, and attention

Key Projects

- GPT Embedding System - Extracted knowledge from large datasets using GPT & FAISS, created a

self-training assistant with context memory

- Image+Voice Embedding Pipeline - Created hybrid text-image-sound embeddings for personalized media
 Andrii Haliborshch
Prompt Engineer | AI Integrator | AI Automation Specialist

generation (LoRA + TTS)

- AI Automation - Slack alerts, automatic triggers, integration pipelines via Make & n8n (e.g., auto-prompt

injection, content alerts)

- AnalizeBot - Internal GPT-powered reporting tool (context memory + PDF generation + usage analytics)

Education & Certifications

- Odesa National Polytechnic University (Bachelor's in Computer Science - in progress)

- AI Course: From Beginner to Expert - Choice31 (English Version)

Certificate: https://app.academyocean.com/verify/GNcY4JaJaIjOl9jE

- Self-Education & Practice - 2023-2024: Fine-tuning, LoRA training, embedding systems, multimodal

generation

Tech & Tools

- GPU: RTX 1080 (11GB) - local inference (Stable Diffusion, Whisper, TTS)

- Embeddings: FAISS, pgvector, OpenAI & HuggingFace APIs

- Fine-tuning: LoRA adapters for text/image models

- Platforms: Google Sheets, Make, n8n, Imgbb

- Languages: Python (basic scripting), Markdown, YAML, JSON

Full Stack Tools & Technologies

- Backend: FastAPI, Node.js (basic), Express

- Frontend: React, Tailwind CSS, HTML5, TypeScript

- Database: MongoDB, PostgreSQL, Firebase

- APIs: REST, Webhooks, Google Sheets API

- Tools: Git, Docker (basic), VS Code, Postman

Languages

Ukrainian - Native

English - B2 (technical writing, communication)