I am the Founder of Memory Bridge and a Senior ML Engineer based in Ottawa, Canada 🇨🇦.
My work sits at the intersection of System Architecture, Product Strategy, and Applied AI. I build privacy-first memory layers that give LLMs long-term context, bridging the gap between raw model capability and reliable, economic business utility.
Alongside product work, I’m active in AI safety learning and community circles (including BlueDot Impact), where I focus on practical questions around trustworthy systems, alignment constraints, privacy, and real-world deployment trade-offs.
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🧠 Context-Aware AI Agents
Architecting provider-agnostic memory vaults and retrieval systems. My focus is on solving the "amnesia problem" in LLMs to enable persistent, personalized user experiences while maintaining strict privacy boundaries. |
🛠 Production Engineering
End-to-end engineering for SOTA open-weights (Llama 3.x, Mistral, Qwen). My work goes beyond standard SFT, leveraging Preference Alignment (DPO, PPO) and advanced PEFT strategies to steer model behaviors. I optimize for high-throughput serving (vLLM, TGI) and economic scaling on AWS/Kubernetes. |
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🛡️ AI Safety & Governance
Researching alignment constraints, interpretability, and the societal impact of autonomous agents. I work to translate theoretical safety principles into concrete engineering guardrails. |
🚀 Product & Strategy
Aligning technical architecture with business value. I leverage techno-economic analysis to build AI products that are not just technically novel, but commercially viable and user-centric. |
Building the memory layer for the next generation of AI.