SAID ELHADI

Full-Stack Developer & AI Researcher

Innovative, results-driven Full-Stack Developer with over 3 years of hands-on experience in creating dynamic and responsive web applications. Published AI researcher specializing in wireless sensing and computer vision. Originally from Algiers, Algeria, currently living in China.
Shenzhen, China
CONTACTRESUME

TECHNICAL SKILLS

Programming Languages

JavaScriptTypeScriptPythonJavaCC++

Frontend

ReactNext.jsVue.jsHTML/CSSTailwindCSS

Backend

Node.jsREST APIsSSR

Databases

SQLNoSQLFirebase

AI/ML

PyTorchTensorFlowKerasComputer VisionDeep Learning

Hardware

ESP32Raspberry PiWi-Fi SensingWireless Networks

Cloud & DevOps

AWSGitResponsive DesignScrum/Agile

Mobile

React NativeNative Modules

LANGUAGES

English
Fluent
French
Fluent
Arabic
Fluent
Chinese
Upper Intermediate

EXPERIENCE

Full-Stack Developer
November 2023 - Present
HHS
Developing full-stack web applications with modern technologies, integrating payment processors, and working with React Native and native modules.
Digital Marketing
September 2023 - November 2023
Oleap AI
Optimizing web presence and search engine performance for a AI headsets company.
Web Developer
August 2021 - September 2022
Joysun
Gained hands-on experience in web development, project collaboration, and software development lifecycle.

EDUCATION

Master of Science in Computer Science
September 2023 - January 2026
Harbin Institute of Technology (Shenzhen)
In Progress
Advanced studies in AI and machine learning with focus on wireless sensing research. Working towards PhD admission.
Bachelor of Software Engineering
September 2019 - July 2023
Zhengzhou University
Completed
Comprehensive foundation in software design, system architecture, and development lifecycle. Collaborated on projects and internships, fostering teamwork skills.

AWARDS

Henan Government Scholarship
2019-2023
HIT (Shenzhen) Scholarship
2023-2025

PUBLICATIONS

Published research papers

Demo Abstract: Underground Root Tuber Sensing via a Wi-Fi Mesh Network

Said Elhadi, Tao Wang, Yang Zhao

The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys '25) • 2025

DNN Models for WiFi CSI-based Underground Image Reconstruction

Said Elhadi, Yang Zhao

Under Review • 2024

DRIFT: Data-driven RF Tomography via Cross-modal Sensing and Continual Learning

Yang Zhao, Tao Wang, Said Elhadi

Published • 2024

KEY PROJECTS

Technical achievements and implementations

Underground Root Tuber Sensing via Wi-Fi Mesh Network

Published in ACM SenSys '25

Wi-Fi CSIDeep LearningESP32PyTorchComputer Vision

Model Inference Optimization

Completed

ONNXTVMPyTorchModel Optimization

Chat2D a 2d ai chat interface

Completed

GeminiNextJSShadcnLLM

ESP32 WiFi Mesh Network

Completed

ESP32Wi-Fi MeshIDF-ESP 5.2IoT

Defect Detection Computer Vision Model

Completed

TensorFlowKerasCNNComputer Vision

Crypto Mining Rig & Trading Bots

Completed

PythonCryptocurrencyHardwareTrading Algorithms

GET IN TOUCH

Open to new opportunities, research collaborations, and interesting projects.

said.elhadi1080@gmail.com
+86 177 2464 9726
Shenzhen, China

© 2025 SAID ELHADI