AI
01 — Platform / AI Integration
Modular AI Platform
A modular software platform combining backend services, workflow orchestration, data management, observability and AI/LLM integration with tool-oriented execution and deployment automation.
Open to full-stack, backend & platform roles
©2026
Québec, Canada
IBRAHIMBOUBAKRI
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About
I build reliable software across product, platform and operations.
I’m a full-stack software developer focused on turning product ideas into reliable software: responsive interfaces, backend APIs, service boundaries, data flows and deployment-ready applications.
My recent work brings together backend platform development, DevOps automation and AI integration—from containerized delivery and observability to orchestration, retrieval workflows and model/service integration.
I also lean on agentic coding assistants—Claude Code, OpenAI Codex, GitHub Copilot and Cursor—for code analysis, refactoring, test generation and documentation, always with human review and CI/CD validation.
ReactPythonFastAPIDockerKubernetesGitLab CI/CDPyTorchROS 2CUDAMCP
IB
EN / FR
Bilingual portfolio
Québec,
Canada
Canada
2024 — NOW
Full-Stack Developer · Architecture, DevOps & AI Integration
Modular AI Platform
2024 — 2026
Researcher · Computer Vision & Autonomous Robotics
UQTR × Noovelia
2023 — 2024
Developer · DevOps & Automation
PRIMATEC Engineering
2023
Full-Stack Developer Intern · Web & Data
Hydrogen Research Institute
2024 — 2026
M.Sc. Electrical Engineering · Computer Engineering concentration
Université du Québec à Trois-Rivières
2020 — 2023
Engineering Degree in Computer Science
ENSI · University of Manouba
Certifications & activities
- DevOps Bootcamp — TechWorld with Nana
- AWS Cloud Technical Essentials — Coursera
- IBM DevOps & Software Engineering Professional Certificate — Coursera, in progress
- Organizing team member for the ENSI Annual Forum, TuniHack, RoboCup and HackZone Tunisia
CapabilitiesWhat I do
01
Full-Stack Product Development
02
Backend & Platform Systems
03
DevOps & Delivery Automation
04
AI Integration
05
Computer Vision & Robotics
Selected workSystems I’ve built
H₂
02 — Real-Time Data Platform
Hydrogen Data Platform
A real-time data platform built around services, MQTT messaging, processing pipelines, APIs and visualization to make experimental data easier to ingest, inspect and operate.
CTF
$ provision competition-infra
✓ challenge services online
✓ monitoring pipeline active
✓ participant network isolated
$ observe --live
events ........ streaming
health ........ nominal
ops ........... ready
✓ challenge services online
✓ monitoring pipeline active
✓ participant network isolated
$ observe --live
events ........ streaming
health ........ nominal
ops ........... ready
03 — Infrastructure / Security
HackZone Tunisia X
Infrastructure and operational tooling for a CTF environment, with deployment, monitoring and security-focused workflows supporting a live technical event.
ROS
$ train yolopose --synth blender
✓ synthetic frames generated
✓ domain randomization applied
✓ annotations auto-labeled
$ deploy --target jetson
ros 2 ............ ready
inference ........ 30 fps
latency .......... low
✓ synthetic frames generated
✓ domain randomization applied
✓ annotations auto-labeled
$ deploy --target jetson
ros 2 ............ ready
inference ........ 30 fps
latency .......... low
04 — Computer Vision / Robotics
Perception & Robotics Platform
An end-to-end computer-vision perception pipeline for industrial pallet detection and keypoint estimation, with synthetic-data generation, YOLO-Pose training, PyBullet simulation and ROS 2 / NVIDIA Jetson deployment.
Also part of my working stack
A
Backend APIs
FastAPI services, data contracts, asynchronous workflows and integration boundaries.
B
Delivery Systems
Containerized development, CI/CD automation and production-oriented observability.
C
AI-enabled Workflows
Grounded model integration, retrieval, tool interfaces and validation around generated outputs.
D
Vision & Robotics
Perception pipelines, synthetic-data workflows, model training and embedded real-time deployment.
Get in touch
Let’s build something useful.
Open to full-stack, backend, platform and DevOps-focused opportunities in Québec, Canada and remote teams, especially where AI integration is part of the product.