Founder, Le Laboratoire Kalkin
Master's graduate (McGill '25) and former market-research PM, currently pursuing a PhD in Building Engineering. Work focuses on prototyping multi-agent LLM systems for hallucination mitigation, building Building-engineering ensemble models, and exploring creative AI in music and astrology.
At Le Laboratoire Kalkin, the work spans applied machine learning, artificial intelligence, and software development across agriculture (Bioponix), legal tech, and fitness.
Full bio & CVServices
AI Consulting
Strategy and architecture for teams adopting LLMs, RAG, and multi-agent systems. Privacy-first, on-premises when required.
- LLM system design & architecture
- RAG pipeline implementation
- Hallucination mitigation strategy
- AI readiness audits
Multi-Agent Builds
End-to-end development of multi-agent pipelines for research, automation, and data-driven decision-making.
- Agent orchestration (SmolAgents, AutoGen)
- Vector store integration (FAISS, Supabase)
- On-prem LLM deployment
- Financial forecasting pipelines
Coaching & Training
AI literacy workshops and hands-on coaching for individuals and teams. Practical, jargon-free, results-focused.
- AI basics workshops
- Prompt engineering training
- Tool selection guidance
- 1-on-1 technical coaching
Live Demos
Multi-Agent System
Research triangulation via orchestrated LLM agents with hallucination mitigation.
Predictive Models
HVAC energy optimization via LSTM trained on EnergyPlus + CWEEDS data. Live demo on HF Spaces.
Astrology with TinyLlama
Astrological prediction engine using real-time planetary data integrated with a Local language model TinyLlama.
Vector Memory
Semantic search across project knowledge base using cosine & euclidean similarity.
Selected Work
Multi-Agent LLM System
Agent vector search using cosine & euclidean similarity with research triangulation to mitigate LLM hallucinations. On-prem deployment.
View on GitHubAIOS: Local AI Operating System
Modular on-premises AI OS combining ML and LLM pipelines for local inference without cloud dependency.
View on GitHubAstrology with TinyLlama
Astrological prediction engine using real-time planetary movement data integrated with a fine-tuned TinyLlama model.
View on GitHubStock Market Ensemble with Sentiment Analysis
Ensemble forecasting combining technical indicators with NLP-based sentiment analysis of financial news.
View on GitHubImplicit Data Inference
Speaking & Presentations
Cracking the Formula for AI & ML
The AI hierarchy, pairing LLMs with supervised ML and RAG, and how vector embeddings expose the roots of hallucination. Delivered at McHacks (with Plotly) and McGill University.
View on LinkedIn →ML, LLMs, RAG & AI Agents
Corporate workshop covering ML fundamentals, transformer architecture, RAG systems, and AI agent components, with live demos of automation tools.
View on LinkedIn →The AI Collective × Deck Meetup
AI community meetup co-organised with Deck, exploring trust in AI products and building confidence through incremental validation.
View on LinkedIn →The AI Collective MTL
Community AI event organised by The AI Collective, bringing together Montréal's applied AI practitioners.
View on Luma →