Богдан

BOHDAN TREHUBENKO
PROMPT ENGINEER

PROFILE
CONTACT
Innovative Prompt Engineer and AI Project Manager with over 4 years of
[открыть контакты](см. выше в блоке «контактная информация») hands-on experience in designing, testing, and implementing AI-driven content
pipelines. Specialized in multi-modal generation systems including text-to-text,
[открыть контакты](см. выше в блоке «контактная информация»)
text-to-image, image-to-text, and video generation workflows. Skilled in
leveraging large language models (LLMs) such as GPT, Claude, Gemini, and
Kyiv, Ukraine Stable Diffusion for commercial applications across marketing, product
development, and automation. Proficient in Python-based AI agents and
https://www.linkedin.com/
workflow orchestration using n8n and other no-code platforms. Adept at
in/bohdan-trehubenko/
transforming cutting-edge AI research into practical, scalable business
solutions.
EDUCATION
WORK EXPERIENCE
2019 - 2022

AKADEMIA
Pinata Farms 2019 - 2025


TECHNICZNO INFORMATYCZNA Prompt Engineer / AI Project Manager
W NAUKACH STOSOWANYCH

Bachelor of Engineering Designed and optimized AI generation pipelines covering text-to-text,
(programming) text-to-image, image-to-text, photo-to-photo, text-to-video, and video-
to-video tasks for commercial and marketing use cases.
Integrated GPT, Claude, Gemini, DALL·E, Stable Diffusion, and
SKILLS RunwayML models to create multi-modal generation workflows for
scalable content automation.
Prompt Engineering & LLM Fine- Built and maintained Python-based AI agents for automating prompt
tuning chains, testing model accuracy, and integrating LLMs into production
AI Content Generation (Text, Image, systems.
Audio, Video) Developed automated marketing content generation systems for ad
campaigns, social media, and product visualization, improving
GPT, Claude, Gemini, Stable
creative output speed by 40%.
Diffusion, DALL·E, RunwayML
Collaborated with AI engineers and designers to refine prompts, tune
Python (AI Agents, API Integrations, generation models, and enhance contextual understanding in LLM
Automation) outputs.
n8n, Zapier, Make, Flowise Orchestrated AI automation pipelines using n8n, and worked with
AI Product Development & other no-code environments such as Zapier, Make (Integromat), and
Implementation Flowis
Data Pipelines & Automation
Systems

LANGUAGES

English (B2)
Ukrainian (Fluent)
Polish (B2)