Available for projects

Hi, I'm Medy Evrard.

AI Automation & Backend Developer

I build AI-powered automations, APIs and backend systems that help businesses reduce repetitive work and turn ideas into reliable software.

Medy Evrard, AI automation and backend developer

MSc Computer Science

AI • Backend • Systems

  • Python
  • FastAPI
  • Spring Boot
  • PostgreSQL
  • AI/LLM
  • Docker
  • MSc Computer Science
  • AI Research
  • Backend Engineering
  • Open to Freelance

03 / SELECTED WORK

Products I've Built

Real products designed, developed and deployed to solve real business problems.

01 / Featured Project

Live in Production

MedinChina

Production Sourcing CRM & Operations Platform

I designed and built MedinChina as a centralized platform for managing international sourcing operations. The system connects customer requests, suppliers, quotations, orders, inspections, shipments, documents and payments into a single operational workflow.

CRM · Workflow Automation · Dashboard · Backend · API

Industry
International Trade / Sourcing
My role
Product Design · Full-Stack Development · Backend · Deployment
MedinChina / Product view
MedinChina sourcing workspace preview with fictional order MC-2048, production progress, documents and shipment stages
Public product preview · Fictional demonstration data

Customer & Request Management

Capture and organize sourcing requirements.

Supplier & Order Management

Manage suppliers, quotations and production progress.

Inspection & Logistics Tracking

Follow inspections, shipment stages and operational updates.

Documents & Payments

Keep commercial documents and transaction information connected to each order.

GradGate / Workflow view
GRADGATE

Your path to studying in China

A clearer application journey.

  1. 01Eligibility assessment
  2. 02Programme & funding route
  3. 03Fees & document checklist
  4. 04Application & decision
Academic · Identity · Supporting documents
Application journey illustration

02 / Featured Project

Live

GradGate Consulting

China Admissions & Scholarship Application Platform

I built GradGate as an end-to-end platform for students applying to Chinese universities and scholarship programs, combining eligibility assessment, dynamic pricing, application guidance, document requirements and applicant workflows into one digital experience.

Industry
EdTech / International Education
My role
Product Design · Full-Stack Development · UX · Deployment

Dynamic Fee Estimator

Programme level, scholarship route and optional services determine real-time pricing.

Application Workflow

Assessment → strategy and documents → submission → decision.

Document Management Flow

Structured requirements for academic, identity and supporting documents.

Applicant Experience

Clear application information, fees, requirements and next steps in one interface.

03 / AI & Backend Engineering

Traffic Collision Prediction

Machine Learning for Urban Collision Severity

An end-to-end Python pipeline that turns NYC collision records into engineered features, compares ensemble models and generates evaluation reports for severity prediction.

Python · Scikit-learn · Feature Engineering · Model Evaluation

Research Prototype

From raw data to model insight

  1. NYC collision records
  2. Data & feature pipeline
  3. Ensemble models
  4. Evaluation & reports
Research pipeline overview

04 / ABOUT

Beyond the Code

Portrait of Medy Evrard, software engineer
Medy EvrardSoftware Engineer
Based in
China
Working
Remote / Worldwide
Focus
AI • Backend • Automation
Languages
English • French

I’m Medy Evrard, a software engineer with an MSc in Computer Science focused on backend engineering, AI systems and business automation.

I enjoy turning complex, real-world problems into software that is practical, reliable and built to be used—not just demonstrated.

My work sits at the intersection of software engineering and business operations. I’ve designed and deployed production platforms including a sourcing and operations CRM for international trade and a digital application platform for students pursuing university and scholarship opportunities in China.

My technical work spans Python, FastAPI, Java/Spring Boot, databases, APIs, AI/ML and cloud-based systems. My academic background in artificial intelligence and computer science gives me a strong technical foundation, while building real products has taught me to think beyond the code—about users, workflows, reliability and the business problem a system is supposed to solve.

Today, I focus on building AI automations, backend systems and digital products that help businesses work more efficiently and turn ideas into production-ready software.

Download CV

MSc Computer Science

Advanced foundation in software engineering, AI and intelligent systems.

Production Software

Experience designing, building and deploying real platforms used for business operations.

Business + Engineering

I approach software from both perspectives: how it works technically and how it creates value for the people using it.

What drives me

Building technology that moves beyond prototypes and becomes something people actually use.

05 / TECHNICAL EXPERTISE

Technologies Behind the Products

I work across backend engineering, AI and infrastructure to build reliable software from concept to production.

01

Backend Engineering

Core technologies

  • Python
  • FastAPI
  • Java
  • Spring Boot

Engineering

  • REST APIs
  • Microservices
  • Authentication
  • API Integration
  • Async Processing

Designing APIs, business logic and backend architectures for production applications and business platforms.

02

AI & Machine Learning

Core technologies

  • PyTorch
  • LLM Integration
  • RAG
  • Computer Vision

Building intelligent applications that combine machine learning, LLMs and real business data.

03

Data & Databases

Technologies & practices

  • PostgreSQL
  • SQL
  • Redis
  • Database Design
  • Data Modeling

Designing structured, reliable data layers for applications, analytics and automation workflows.

04

Frontend Engineering

Core technologies

  • React
  • Next.js
  • TypeScript
  • Tailwind CSS

Building modern interfaces and dashboards for web applications and internal business tools.

05

DevOps & Infrastructure

Tools & practices

  • Docker
  • Git
  • GitHub Actions
  • CI/CD
  • Linux
  • Cloud Deployment

Containerizing, deploying and maintaining applications with reproducible development and production workflows.

How I Build

  1. Discover

    Understand the business problem and requirements.

  2. Design

    Define architecture, data models and workflows.

  3. Build

    Develop backend, integrations, AI and interfaces.

  4. Test

    Validate functionality, reliability and edge cases.

  5. Deploy

    Containerize and release to production.

  6. Iterate

    Improve based on real-world usage.

06 / RESEARCH

Researching Intelligent Systems

My academic work explores computer vision, intelligent transportation and machine learning, connecting research ideas with practical software engineering.

Featured / Master’s Research

Enhanced Deep Learning Models for Real-Time Traffic Analysis

Combining what a traffic camera sees with how traffic evolves over time to study more reliable traffic analysis in difficult conditions.

The Problem
Rain, fog and low light can reduce the reliability of traffic-analysis models. Object detection and traffic forecasting often operate as separate systems.
The Approach
Combine YOLOv8 object detection with ST-GCN modeling of traffic patterns across space and time, using weather-adaptive fusion.
The Result
A unified research prototype connecting traffic perception and prediction, with attention to model evaluation and practical inference constraints.
My Contribution
Designed the integration between detection and forecasting, implemented the model pipeline and evaluated its behavior under adverse environmental conditions.

Research stack

  • Python
  • PyTorch
  • OpenCV
  • YOLOv8
  • ST-GCN
Read Technical Details

Architecture overview

Simplified view of the Master’s research approach.

Selected Publications & Research

  1. Published2026

    A Multi Stage Ensemble Framework for Fake News Detection: Integrating Traditional Machine Learning, Deep Learning, and Advanced Feature Engineering

    Missang Mi Aba'a Medy Evrard, Qi Wang

    International Journal of Scientific Research and Management · Vol. 14, Issue 03

    Natural Language Processing · Ensemble Learning · Deep Learning

  2. Research manuscript2025

    Comprehensive Evaluation of Deep Learning Architectures for Traffic Sign Classification: A Multi-Dimensional Benchmarking Study

    Traffic sign classification study

    Computer Vision · Model Benchmarking · Robustness

  3. Research manuscript2025

    Leak-Free Machine Learning for Real-Time Urban Crash Severity Prediction

    Urban crash severity study

    Machine Learning · Feature Engineering · Intelligent Transportation

07 / EXPERIENCE & EDUCATION

The Journey So Far

Building at the intersection of software engineering, AI research and real-world digital products.

Experience

  1. 2025 — Present

    API Developer & Technical Specialist

    APIDog

    Remote

    Designing, testing and documenting REST APIs, with automated tests, mock services and integration workflows for backend and frontend teams.

    • API Design
    • Automated Testing
    • Documentation
    • Backend Integration
  2. Mar 2024 — Jul 2025

    Content & SEO Specialist

    QUICK DOGTHIS

    Remote

    Improved digital content and search discoverability through keyword research, performance analysis and collaboration with the development team.

    • Content Strategy
    • SEO
    • Analytics
    • Digital Platforms
  3. 2020 — Present

    Founder & Technical Lead

    MedinChina Sourcing

    China · International operations

    Designed and developed the digital infrastructure for international sourcing, connecting customers, suppliers, orders, inspections, logistics, documents and payments.

    • Product Strategy
    • CRM Development
    • Automation
    • Operations

Education

  1. 2024 — 2026

    MSc in Computer Science

    Nanjing University of Information Science and Technology

    Nanjing, China

    Advanced study in computer science, with research in deep learning, computer vision and intelligent transportation systems.

    • Artificial Intelligence
    • Machine Learning
    • Intelligent Systems
    View Master’s Research
  2. 2020 — 2024

    BSc in Computer Science

    Sanming University

    Sanming, China

    A foundation in computer science and software engineering, applied through a thesis project on a smart house rental web application.

    • Software Engineering
    • Web Applications
    • Data Systems
Languages
English (Professional) · French (Native) · Mandarin (Basic)
Working with
Remote teams · International clients · Cross-border projects

Looking for the complete professional background?

Download CV

08 / LET’S WORK TOGETHER

Have a Project in Mind?

Tell me what you’re trying to build, automate or improve. Share a few details about your project and I’ll get back to you to discuss the best approach.

Available for freelance projects

Based in China · Working worldwide

Tell me what you have in mind

Name, email, project type and a few project details are all you need to get started.

Project request details
What do you need?

Choose all that apply, or select “Not Sure Yet.”

Links to examples or requirements are welcome.