AI Engineer · Software Engineer · Sfax, Tunisia

Mohamed Amin MAKNI

AI Engineer building document intelligence, computer vision, and RAG systems that hold up outside the notebook

I turn complex AI capabilities into usable software systems—combining model pipelines, backend architecture, business rules, and human feedback around a measurable operational need.

LinkedIn GitHub Sfax, Tunisia
Open to full-time rolesAI Engineer · Applied AI / Machine Learning Engineer · Computer Vision Engineer Remote · Hybrid · Open to relocation. Available immediately.
01Applied AIVision · OCR · Evaluation
02Generative AIRAG · LLMs · Agents
03AI product deliveryBackend · APIs · MLOps
MODEL · DATA · FEEDBACK · DELIVERY
Portrait of Mohamed Amin MAKNI
FocusApplied AI
& intelligent software

01 / Positioning

Engineering useful AI across models, software, and human workflows.

AI Engineer and Software Engineer focused on computer vision, document intelligence, RAG, LLMs, and intelligent agents. I design complete AI-enabled applications—from datasets and model evaluation to backend integration, human validation, and reliable delivery.

Secure by designObservable in operationMeasured by outcomes

02 / Experience

Work shaped by real workflows

Selected engagements that demonstrate system ownership, backend delivery, and applied engineering.

01

Feb – Jul 2026

Sfax, Tunisia

Essilor SIVO (EssilorLuxottica)

AI & Software Engineering Graduation Project

Designed and delivered OptiFlow Precal Insight, a mobile and AI workflow for processing PRECAL optical forms.

  • Owned requirements analysis, software and AI architecture, mobile and backend implementation, and end-to-end integration.
  • Built a multi-model document pipeline with confidence scoring, business validation, and human correction loops.
  • Validated the system through model evaluation and end-to-end human-in-the-loop workflow checks.
YOLO11EfficientNetV2-STrOCRGLM-OCRRapidFuzz
02

Jun – Oct 2025

Remote · Paris, France

Altavo Partners

Backend Developer Intern

Developed backend services for a Hedera-based platform created in the context of the Hedera Africa Hackathon.

  • Implemented API services and integrated the Hedera SDK.
  • Worked with PostgreSQL persistence and Docker-based environments.
Node.jsPostgreSQLDockerHedera SDK
03

Jun – Aug 2024

Sfax, Tunisia

Infotech Consulting Services (ICS)

Full-Stack Developer Intern

Developed features for Geex, a university operations platform covering schedules, examinations, users, and resources.

  • Built administration workflows for students, classes, and professors.
  • Implemented scheduling, examination logistics, and resource-management features.
LaravelVue.jsPHPMySQL

03 / Expertise

A focused engineering toolkit

Capabilities are grouped by the systems they help deliver—not presented as an undifferentiated technology wall.

01

Applied AI Engineering

Model pipelines designed around measurable application outcomes

  • Python
  • PyTorch
  • TensorFlow
  • YOLO
  • OCR
  • Model evaluation
02

Generative AI Systems

Grounded AI workflows for retrieval, reasoning, and assistance

  • RAG
  • LLMs
  • Intelligent agents
  • Vector search
  • Human-in-the-loop
03

Computer Vision & Documents

Detection, recognition, classification, and validation workflows

  • YOLO11
  • TrOCR
  • GLM-OCR
  • EfficientNetV2
  • RapidFuzz
04

Backend & Architecture

Maintainable APIs, services, data flows, and integration boundaries

  • FastAPI
  • Node.js
  • REST APIs
  • PostgreSQL
  • MySQL
  • MongoDB
05

AI Software Delivery

Containerized AI services and repeatable engineering workflows

  • Docker
  • Linux
  • Git
  • GitHub
  • API integration
06

Full-Stack Engineering

Product interfaces connected to production-oriented services

  • Next.js
  • React
  • Angular
  • TypeScript
  • WebSocket

04 / Selected work

Proof through engineering decisions

Three projects selected for relevance, architectural depth, and available evidence.

Public repository · RAG & computer vision

SmartWarehouse AI

A logistics platform that combines vehicle-image processing, grounded AI decisions, and warehouse operations.

Role
Full-stack and AI engineering
Challenge
Connect inbound and outbound warehouse workflows to vision, inventory data, and context-aware assistance.
FastAPINext.jsYOLOGeminiChromaDBMySQL

Multimodal AI · Learning analytics

Intelligent Online Classroom

A multimodal learning system connecting quiz responses, webcam data, facial analysis, and NLP-driven interaction.

Role
Full-stack and AI engineering
Challenge
Synchronize behavioral and textual learning signals while keeping the application workflow secure and usable.
AngularPythonYOLOTensorFlowNLPComputer Vision

05 / Engineering approach

From problem framing to operational feedback

01

Frame the problem

Clarify the workflow, constraints, users, and definition of success.

02

Design the system

Define service boundaries, data paths, security controls, and failure modes.

03

Build for delivery

Implement maintainable services and automate repeatable build and release work.

04

Observe and improve

Validate outcomes, expose useful signals, and iterate from operational feedback.

06 / Credentials

Education and verified certifications

Education

Software Engineering & Business Intelligence

National Engineering Degree in Computer Engineering

International Institute of Technology (IIT) · Sfax, Tunisia

Completed · 2021–2023

Engineering Preparatory Program

Engineering Preparatory Institute of Sfax (IPEIS) · Sfax, Tunisia

Certifications

14 October 2024

Information Technology Specialist — Artificial Intelligence

Certiport · Score 889 / 1000

June 2025

Hashgraph Developer

The Hashgraph Association

27 March 2024

Information Technology Specialist — Python

Certiport · Score 880 / 1000

07 / Engineering notes

How I think about building these systems

Short write-ups on evaluating document-AI pipelines, designing review steps people can use, and what I would do differently next time.

6 min read

What I changed after my first RAG system

Building a retrieval-augmented assistant for warehouse operations taught me that most of my problems were retrieval problems wearing a generation costume.

Read all notes

08 / Contact

Let’s build systems that are ready to operate.

For AI engineering, computer vision, RAG, intelligent-agent, backend, or software architecture opportunities, reach me directly.

Open to full-time roles: AI Engineer, Applied AI / Machine Learning Engineer, Computer Vision Engineer, Generative AI / RAG Engineer. Remote · Hybrid · Open to relocation. Considering Tunisia · European Union · United Kingdom · UAE · Remote.

mki.medamin@gmail.com