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Personesque BobensquePB
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Personesque Bobensque

@personesquebobensque

Founding engineer building full-stack AI decision-support products—React/Next.js UI and FastAPI/TypeScript systems end to end.

Canada
Message

What I'm looking for

I’m looking to build and ship end-to-end product features for AI-driven systems, owning architecture across UI, APIs, and deployments, in teams that value reproducibility, CI hygiene, and customer-facing demos.

I’m a Computer Engineering graduate from the University of Toronto and a Founding Engineer at Vimy Systèmes, where I build full-stack products end to end—React/Next.js front ends with Python and TypeScript back ends that are shipped and deployed.

As the first engineering hire, I lead engineering across active programs, driving product demos, technical architecture, and the public web presence. I architected a multi-modal sensor-fusion platform with a 23-package pnpm + uv monorepo (10 FastAPI microservices, 9 shared Python libraries, and a React 19 + Vite operations console) with Postgres-per-service persistence, Docker Compose orchestration, policy-as-code access control (OPA/Rego + Cerbos), and end-to-end W3C PROV-O provenance.

I also own meaningful customer-facing delivery: I’m a large share of the public site end to end—from content architecture and motion to 3D/Spline embeds and the React 19 / Vite / Tailwind build through deployment. Earlier, as a Tenstorrent Engineering Intern, I managed lab/server qualification systems for multi-chip AI-accelerator boards and turned recurring manual steps into repeatable automated sweeps. My independent work includes JobFinder, a 19-route FastAPI + HTMX job pipeline over async Postgres 16 / pgvector, with an auditable cost-tracking LLM client and a human-in-the-loop guardrail for applications—because I care about reliability as much as capability.

Experience

Work history, roles, and key accomplishments

Vimy Systèmes logoVS
Current

Founding Engineer

Vimy Systèmes

Aug 2025 - Present (11 months)

First engineering hire and lead engineering across active programs, owning full-stack delivery and the public web presence for explainable AI/decision-support software. Architected and shipped a multi-service FastAPI + React (React 19/Vite/Tailwind) platform with Postgres persistence, Docker orchestration, policy-as-code access control, provenance, and an end-to-end JobFinder pipeline.

TE

Qualification Engineering Intern

Tenstorrent

May 2023 - Jul 2024 (1 year 2 months)

Managed lab/server-rack qualification systems for multi-chip AI-accelerator boards, including bring-up, parallel test orchestration, and failure triage across hardware and system logs. Built and stabilized automation tooling and CI workflows using Python and C/C++ test harnesses.

Education

Degrees, certifications, and relevant coursework

University of Toronto logoUT

University of Toronto

Bachelor of Applied Science, Computer Engineering

Grade: 3.55 / 4.0; Dean's Honour List

B.A.Sc. in Computer Engineering from the Faculty of Applied Science & Engineering, graduating June 2025, with a Certificate in Artificial Intelligence Engineering. Named to the Dean's Honour List and reported a cumulative GPA of 3.55/4.0.

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