— MONTRÉAL, CA

Applied AI Systems Engineer

AI engineer building data infrastructure and long-running agents across enterprise, productivity, and fintech. I work where technical systems and product decisions meet, shaping the context, orchestration, and interfaces that make AI useful.

I dropped out of college early in my freshman year and learned engineering by building. I still do, with occasional detours into physics and arguments with my own agents.

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— CURRENTLY BUILDING01 FLAGSHIP

Verstack

AI-powered property inspections in minutes, with every record in one place.

verstack.ai→

Syndic

Run cloud coding agents with goals, templates, and schedules built in.

syndic.dev→
— WHAT I'M INTO

The problems I want to spend the next years on. If these resonate, we'll work well together.

  1. 01

    Autonomous workflows with provenance

    Agents that can execute multi-step business tasks while tracking what they used, what changed, what failed, and why the final answer should be trusted.

    egprovenant.shverifiable financial agent outputsfinancial agent outputs
  2. 02

    Vertical agent harnesses for specialized domains

    Custom agents for analysts, operators, founders, and enterprise teams that encode the workflow, data access, checks, and approvals of a specific business process.

    egsyndic.devmobile control plane for cloud coding agentscloud coding agent control plane
  3. 03

    Context infrastructure for reliable agents

    Routing, ranking, and packaging the exact knowledge an agent needs from internal systems before it acts, so execution is grounded instead of generic.

    coming soonself-improving latent memory with provenance built-incontext + memory layer

If any of these areas spark your interest, we should talk. Feel free to reach out.

— SELECTED WORKbrowse all →

Production systems at enterprise scale across market data, security, and finance.

— CONTACT
hello@humza.io

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