Gauraang Malik.

Gauraang Malik

PhD researcher at Concordia University (Building Engineering) applying Machine Learning and AI to built-environment challenges. Founder of Le Laboratoire Kalkin, an AI consultancy specialising in multi-agent LLM systems, RAG pipelines, and financial forecasting. Speaker and organiser at The AI Collective, Montréal's applied AI community.

// AI Philosophy

Privacy-First AI

AI systems should augment human judgment without harvesting data. On-premises deployment and local LLMs aren't limitations — they're design choices.

Local-First Systems

Infrastructure that runs on your hardware keeps you in control. Cloud dependency is a liability; reproducibility and ownership matter.

RAG vs. Agents

RAG retrieves. Agents reason. Most real-world problems need both working in concert, with hard guardrails against hallucination at every node.

Why Most AI Products Fail

Over-promising, under-constraining, and ignoring domain knowledge. Good AI is 20% model and 80% pipeline, data quality, and human oversight.

Technical Skills

Python PHP R C++ JavaScript HTML / CSS TensorFlow PyTorch Scikit-Learn Keras pandas NumPy Tableau SQL FAISS PostgreSQL Supabase GSAP

Project Management

Scope & Schedule Planning Risk Management Agile / Scrum Budget Control Stakeholder Engagement Quality Assurance

Soft Skills

Critical Thinking Communication Collaboration Adaptability Empathy Time Management
Apr 2024 – Jun 2026

Research on LLM-Agent Architecture – McGill University

  • Literature Review (May–Aug 2024): In-depth study of encoder/decoder transformer models, AI hallucination causes, detection, and mitigation via LLM agents and RAG systems.
  • Implementation (Jan 2025–Jun 2026): Prototyping multi-agent architectures in SmolAgents, LangChain, and AutoGen; evaluating performance and hallucination reduction.
Sep 2025 – Present

PhD Researcher – Concordia University · Building Engineering

  • Supervisor: Prof. Bruno Lee. Research on ML and AI applications for energy optimization in the built environment.
  • Collaborating with Volt Age on applied energy intelligence, bridging simulation-based building models with real-world deployment.
Sep 2025 – Ongoing

Speaker & Organizer – The AI Collective (AIC)

  • Speaker: Cracking the Formula for AI & ML — The AI Collective × McHacks & Plotly, McGill University; ML, LLMs, RAG & AI Agents — Simply Voting Inc.
  • Organiser: AIC × Deck Meetup (April 2026); The AI Collective MTL. Topics: LLMs, RAG, multi-agent systems, hallucination mitigation.
Mar 2021 – Feb 2022

Project Manager – Schlesinger Group

  • Delivered multiple B2B and B2C quantitative research projects, providing actionable insights.
  • Managed end-to-end research functions — data collection, processing, programming, and tabulation.
Feb 2020 – Feb 2021

Associate Project Manager – Progresso Research

  • Oversaw 30+ B2B and B2C quantitative projects monthly, maintaining on-time delivery.
  • Led RFQ and bidding processes; monitored survey quotas and cost per respondent.
May 2019 – Jul 2019

Magento & WordPress Developer – Digital Empowerment Foundation

  • Developed and launched Digikargha.in, a handloom e-commerce site using Magento.
  • Integrated secure payment gateway solutions for Magento and WordPress platforms.
2025 – Present

PhD in Building Engineering – Concordia University

  • Supervisor: Prof. Bruno Lee. Research focus: ML and AI applications for HVAC energy optimization in the built environment.
  • Industry collaboration with Volt Age on real-world energy intelligence deployment.
2023 – 2025

Masters of Information Studies – McGill University

  • Coursework: Artificial Intelligence, Data Science, Data Mining, Information Architecture, Research Principles, Information Security.
  • Independent research on LLM hallucination mitigation as part of thesis project.
2017 – 2020

BSc in Information Technology – Amity University

  • Coursework: Programming (C++, PHP), RDBMS, Web Development (HTML, CSS, JavaScript), Network Fundamentals.
  • Final Year Project: Web-based inventory management system.