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polisdi/README.md

Hi, I'm Dmytro 👋

AI Engineer & Consultant based in Toronto, Canada 🇨🇦.. Building practical AI systems — LLM pipelines, intelligent agents, and automation tools that solve real problems.


🔧 What I Build

  • LLM-powered applications — RAG pipelines, document retrieval, conversational agents
  • AI automation — Telegram bots, workflow automation, real-time data processing
  • Azure AI solutions — cloud-based AI integrations and deployments
  • IoT + AI — sensor monitoring, Node-RED automation systems

🚀 Featured Projects

Project Description Stack
rag-demo RAG pipeline with document retrieval and LLM integration Python, LangChain, ChromaDB
whisper-transcriber Docker-based video transcription using Whisper LLM — batch processes video/audio files (mp4, mp3, wav) from a folder Python, Whisper, Docker
event-talks-app A responsive app visualizing BigQuery release notes with search, filtering, tweet composer, copy‑to‑clipboard, CSV export, and glass‑morphic UI. Python, Flask, HTML, CSS, JavaScript (vanilla), Requests, BeautifulSoup
whisper-transcriber-gradio Real-time voice transcription via Gradio web UI — record from microphone or upload audio, get instant text + downloadable SRT/TXT, GPU-accelerated in Docker Python, Whisper, Gradio, Docker

🛠 ️ Tech Stack

AI & ML.. Python LangChain Azure AI OpenAI

Tools & Infrastructure.. Docker Node-RED Linux Git


📜 Certifications

  • 🏆 Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • 🏆 Google Certified: Professional Machine Learning Engineer

💼 Background

20+ years in IT — from hardware and embedded systems to network architecture and cybersecurity... Since 2023 fully focused on AI engineering: LLMs, agents, RAG systems, and practical AI integration for business problems.

Currently open to AI Engineer and Applied AI Engineer roles.


📫 Let's Connect

LinkedIn GitHub

Popular repositories Loading

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    RAG pipeline using LangChain and ChromaDB — document retrieval with LLM integration

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    Docker container that transcribes video and audio files (mp4, mp3, wav) using OpenAI Whisper. GPU accelerated, supports 99 languages, multiple model sizes.

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