Viktor

Viktor Kononenko
AI Solutions Developer | AI Integrator
[open contact info](look above in the "contact info" section) | Telegram @jakethebirdy | https://github.com/wermund

🔹 Summary
Practical AI developer focused on LLM-powered automations, voice assistants, and
data-driven AI tools. I specialize in rapid prototyping and real-world AI integrations
using Python and no-code/low-code tools (e.g., n8n, Make), backed by a strong grasp
of vector databases, APIs, and AI pipelines. While I don’t write complex Python code
from scratch, I effectively build and deliver complete AI features using AI-assisted
development and proven open-source tools.

🧠 Core Expertise
LLM Integration & Automation

• GPT-4, Claude, Together API, LLaMA 3, Mistral

• Prompt design, OpenAI-compatible APIs, multi-agent setups

RAG & Vector Databases

• FAISS-based local knowledge base setup

• Document loaders, semantic search

Voice-Enabled AI Systems

• Whisper (local STT), ElevenLabs (TTS), voice → AI → voice pipelines

• Telegram voice bot deployment

AI Integration Engineering

• Python-based logic using AI-assisted coding

• Automation work ows with n8n, Make, API/webhook integrations
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 • JSON-based ows between CRMs, Sheets, LLMs, bots

Web Automation & Data Handling

• Selenium, Playwright, headless scraping for ETL

• Excel/CSV/JSON handling, webhook triggers, RESTful API sync

⚙ Tools & Technologies

Python (with AI support) • Whisper • ElevenLabs • FAISS • n8n • Make • LangChain
(basic) • REST APIs • dotenv • requests • Selenium • Playwright • Midjourney • FFmpeg
• Pydub • Git

🔹 Highlight Projects

• 🎙 Voice-Driven GPT RAG Assistant (CLI & Telegram)

- Built full pipeline: Voice input → Local Whisper → Together GPT → ElevenLabs output
- Integrated with .txt RAG knowledgebase to deliver grounded responses
- Developed in CLI and Telegram bot versions, ready for internal doc bots, customer
support or product onboarding use cases
- Code: https://github.com/wermund/telegram-rag-voice-bot

• 📚 GPT RAG Knowledge Chat

- Standalone CLI-based assistant answering from custom .txt documents
- Fully documented structure for scaling to FAISS, PDF, or internal DocQA

• 🛠 Multimodal AI Content Generation

- Developed end-to-end ows for video generation, voiceovers, visuals using AI tools
like ElevenLabs, Midjourney, Suno, Ideogram
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 🎓 Education
M.A. in Sociology, Kyiv-Mohyla Academy
B.A. in Administrative Management, KPI — Faculty of Sociology

🌐 Languages
• English — uent (B2–C1), used in tech support, API docs & deployment
• Ukrainian — native

🧩 Additional Background
• Podcast and audio cleanup experience
• Strong experience with voice pipelines, prompt engineering, low-code
orchestration, and bridging AI tools with business logic

💡 Looking for
A role where I can:
• Build production-ready LLM pipelines and automation agents
• Use Python + vector DBs + API ows to solve real problems
• Ship working MVPs fast, then scale with the team
• Integrate voice, text, and knowledge into usable AI systems
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