<aside> 👉🏼 AI Research/Prompt Engineer

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AI specialist focused on prompt engineering, generative models (text, images, video, and music), and process automation. I have experience in manual software testing, content management, and integrating AI services via APIs. I am passionate about applying modern technologies to optimize business processes and improve project efficiency.

+381628633487  available on Viber, WhatsApp, Telegram

[email protected]

Work Experience

AI Specialist (Freelance / Independent Projects / BT-aistudio) | Subotica, Serbia | Oct 2025 – Present

Position: AI Research / Prompt Engineer

Main responsibilities:

1. Designing and optimizing prompts for LLMs (GPT-4, Claude, DeepSeek); generating text, visual, and multimedia content.
2. Configuring and integrating AI services into business processes through APIs (OpenAI, ElevenLabs).
3. Testing various AI solutions and selecting optimal model parameters for specific tasks.

Working with language models such as GPT, Gemini, Llama, Claude, DeepSeek, and Grok, choosing the most suitable model depending on the task. Prompt engineering using different techniques and prompting chains. Building AI assistants.

Working with image generation workflows: prompt-to-image, image-to-image, and image-to-prompt. Using Stable Diffusion, Midjourney, FLUX, Hugging Face models, DALL·E, Kling AI, Hailuo AI, Runway, and Synthesia.

Working with video generation tools such as Kling, Hailuo AI, and Runway.

Automation and chatbots: building bots with no-code solutions, creating automations in Make.com, and developing AI assistants. For more advanced systems, collaborating with a Python developer.

Junior QA / Software Tester (UTest, AVI, Freelance) | Moscow, Russia | 2023 – 2024

Position: QA Engineer

Manual testing of mobile and web applications. Creating test cases and bug reports; working with Jira, Redmine, and TestRail. API and traffic analysis using Postman, Fiddler, Charles, and DevTools.

AI-related skills:

Using ChatGPT and Claude to analyze test documentation and generate test ideas. Applying AI to speed up routine QA tasks, including auto-generating test cases and quickly searching through bug reports. Monitoring AI testing trends, including automation and ML-based tools.