AI Engineer & Consultant based in Toronto, Canada 🇨🇦.. Building practical AI systems — LLM pipelines, intelligent agents, and automation tools that solve real problems.
- 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
| 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 |
- 🏆 Microsoft Certified: Azure AI Engineer Associate (AI-102)
- 🏆 Google Certified: Professional Machine Learning Engineer
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.