Systems
Models matter, but so do infrastructure, interfaces, governance, and the people responsible for decisions.
// FounderGauraang
Gauraang
Malik
Building Engineering researcher, applied AI practitioner, and founder of Le Laboratoire Kalkin.
gauraangmalik1@gmail.comWhatsApp · +1 514 577 0030LinkedIn profileMontréal, Québec
Research practice
Introduction & current research
Gauraang is pursuing a PhD in Building Engineering at Concordia University after completing a Master of Information Studies at McGill University in 2025. His current work explores machine learning and AI for energy questions in the built environment.
Alongside that research, he prototypes multi-agent language-model systems, studies how response spaces can help evaluate agreement and hallucination, and builds interactive tools that make technical ideas easier to inspect.
Boundary: research statements here describe an active program of work, not settled conclusions. Findings should be judged through methods, data, and reproducible evidence.
Personal philosophy
What connects the work
Place
Buildings turn computation into material questions about energy, comfort, resilience, and lifecycle impact.
Interpretation
Research communication makes assumptions visible and gives collaborators something concrete to question.
These principles guide project selection. They are a personal orientation, not empirical proof.
Research practice
Research & professional practice
At Le Laboratoire Kalkin, Gauraang works across applied machine learning, artificial intelligence, and software development. Past domains include agriculture through Bioponix, legal technology, fitness, financial forecasting, and information systems.
His earlier market-research project-management work informs a practical approach: define the question, track evidence, communicate uncertainty, and keep delivery constraints visible.
- Multi-agent evaluation and response-space exploration
- Building-energy modelling, clustering, and explainability
- Local and privacy-aware AI infrastructure
- Research dashboards, workshops, and technical communication
Creative inquiry
Music, astrology & playful experiments
Music and astrology are creative spaces for exploring pattern, narrative, symbolism, and interface design. They can suggest metaphors and questions that make technical work feel more human.
Boundary: astrology is treated here as culture and creative inquiry, not scientific evidence. Creative work does not substitute for validation in building engineering or AI research.
Personal philosophy
Ideas I follow
Three public-science voices influence how Gauraang thinks about curiosity, scale, dialogue, and clear explanation. They are creative influences, not technical sources for the research.
Research practice
Capabilities & technical skills
Applied AI
Python, TensorFlow, PyTorch, Scikit-Learn, Keras, pandas, NumPy, FAISS, RAG, local-model systems.
Data & product
SQL, PostgreSQL, Supabase, Tableau, research design, evaluation, information architecture, dashboards.
Delivery
Scope and schedule planning, risk management, Agile practices, budget control, stakeholder engagement, quality assurance.
Software
JavaScript, HTML, CSS, PHP, R, C++, web development, API integration, technical prototyping.
Research practice
Sep 2025 – Present
Apr 2024 – Jun 2026
Sep 2025 – Ongoing
Mar 2021 – Feb 2022
Feb 2020 – Feb 2021
May 2019 – Jul 2019
2025 – Present
2023 – 2025
2017 – 2020
Experience & education
Experience
PhD Researcher · Concordia University, Building Engineering
- Research on machine-learning and AI applications for energy optimization in the built environment.
- Supervisor: Prof. Bruno Lee; collaboration context includes Volt-Age.
Research on LLM-Agent Architecture · McGill University
- Literature review of transformers, hallucination causes, detection, language-model agents, and RAG.
- Prototyping with SmolAgents, LangChain, and AutoGen; evaluating performance and hallucination mitigation.
Speaker & Organizer · The AI Collective
- Talks at McHacks, McGill University, and Simply Voting Inc.
- Community events on LLMs, RAG, multi-agent systems, and trust in AI products.
Project Manager · Schlesinger Group
- Delivered B2B and B2C quantitative research projects.
- Managed data collection, processing, programming, and tabulation.
Associate Project Manager · Progresso Research
- Oversaw 30+ quantitative projects monthly and led RFQ and bidding processes.
- Monitored survey quotas, costs, and delivery.
Magento & WordPress Developer · Digital Empowerment Foundation
- Developed and launched Digikargha.in and integrated secure payment solutions.
Education
PhD in Building Engineering · Concordia University
- Machine learning and AI applications for HVAC and built-environment energy questions.
Master of Information Studies · McGill University
- Artificial intelligence, data science, data mining, information architecture, research principles, and information security.
BSc in Information Technology · Amity University
- Programming, databases, web development, and network fundamentals.
Collaboration
Bring a research question, system problem, or strange idea.
Open to collaborations that value evidence, useful prototypes, and honest boundaries.