Mhammad Khalili

I'm Artificial Intelligence Engineer

About

An AI developer with a strong focus on machine learning and deep learning techniques. Proficient in advanced AI applications such as 3D point cloud alignment, image registration, and fingerprint recognition systems. Experienced in implementing YOLO for real-time object detection, developing face recognition solutions, and integrating AI with IoT devices. Passionate about exploring cutting-edge AI technologies and continuously enhancing expertise in artificial intelligence.

Artificial Intelligence Engineer with experience in hardware integration

Artificial Intelligence Engineer & Back End Developer, with experience in hardware integration using ESP8266 and Raspberry Pi

  • Birthday: 4 Dec 2001
  • Phone: (+98)9386064308
  • City: Iran, Tehran
  • Degree: Bechelors
  • Email: mohammad.khalili1515@gmail.com
  • Freelance: Available

Skills

Development & Tools

  • Python
  • Linux
  • Git
  • Docker
  • Django
  • Web Scraping

Web & Database

  • SQL
  • REST API
  • HTML/CSS

Hardware & IoT

  • IoT
  • Raspberry Pi
  • ESP8266

AI & Data Science

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • C++
  • Triton
  • CUDA Programming
  • Hugging Face
  • Transformers
  • YOLO
  • Diffusion Model

Resume

An AI developer with experience in machine learning and deep learning techniques. Hands-on experience with projects involving 3D point cloud alignment, image registration, and a fingerprint recognition system. Additionally, developed practical expertise in implementing YOLO (You Only Look Once) for object detection, creating real-time object counting systems, and working on face recognition solutions. Also contributed to IoT projects, integrating AI with embedded systems to enhance device functionality. Eager to continue learning and growing in the field of artificial intelligence, with a strong enthusiasm for tackling new challenges and expanding skill sets.

Education

Bachelor's degree in electrical engineering (Telecommunications)

2020 - 2025

Iran, Tehran, KNTU

Relevant Coursework: Digital Signal Processing (DSP), Computer Vision, Linear Algebra, Signal Processing, Circuit Analysis, Control Systems, Electromagnetic Fields, Power Electronics, Microelectronics, Communication Systems, VLSI Design, Embedded Systems, Analog and Digital Electronics, Probability and Random Processes, Electric Machines, Power Systems, Semiconductor Devices.

Teaching Assistant Experience

Teaching Assistant

January 2025 - July 2025 (6 months)

Machine Learning for Master's students (part-time)

Presented by Dr. Mahdi Aliyari Shoorehdeli

    • Assisted in delivering Machine Learning course content, grading assignments, and conducting lab sessions.
    • Supported students with Machine Learning concepts and tools like MATLAB/Python.

Teaching Assistant

January 2025 - July 2025 (6 months)

Signal and System for Bachelor's students (part-time)

Presented by Dr. M. Mohebbi

  • Designed homework assignments for students and presented class solutions to questions.
  • Designed quizzes and supported students with Signal and System concepts and tools

Teaching Assistant

September 2024 - January 2025 (6 months)

Digital Signal Processing (DSP) for Master's students (part-time)

Presented by dr M. Mohebbi

  • Assisted in delivering DSP course content, grading assignments, and conducting lab sessions.
  • Supported students with DSP concepts and tools like MATLAB/Python.

Languages

  • English (Upper-Intermediate)
  • German (Beginner)
  • Persian (Native)

Professional Experience

Artificial Intelligence Engineer

Resan AI firm

  • Worked on implementing face recognition systems using advanced machine learning techniques.
  • Developed and deployed YOLO (You Only Look Once) models for real-time object detection.
  • Utilized large language models (LLMs) for various AI applications, including natural language processing.
  • Designed and optimized encoder-decoder architectures and transformer models for diverse AI tasks.
  • Implemented fingerprint recognition systems for enhanced security and user identification.
  • Developed and integrated object counting solutions for industrial applications to track and manage production lines.
  • Worked on SAM (Segment Anything Model) for advanced image segmentation tasks.

Portfolio

Explore our diverse projects across AI, Backend, IoT, and Python, showcasing our expertise in cutting-edge technologies and innovative solutions. Please note that these are just a selection of our projects—there's much more to discover!

  • All
  • AI
  • Backend
  • IoT

count objects

count objects with yolo

Component Detection

Detect special sounds in voice

identification fingerprint

find latent fingerprint from database for find crime

identification fingerprint

Remove eyebrow with SAM and diffusion model

3D Point Reconstruction

Identify and reconstruct missing parts in 3D files (OBJ) to fix holes and improve model integrity.

appointment Barber

appointment Barber

IOT project

IOT project

face detection

face detection with siamese network

simple blog

simple blog

TTS Project

Implementation of TTS , focusing on Arabic accent

Social Media Video Generator

AI-powered tool that automatically creates optimized short videos for YouTube, Instagram, and similar platforms by cropping content, detecting key scenes, and adding subtitles

Palm photo segmentation

Palm Photo Segmentation

Training palm photo segmentation with different approaches: UNet, SynDiff, DeepLabv3, and patch-based techniques

Contact

I will answer your email as soon as possible

Email Us

mohammad.khalili1515@gmail.com

Call Us

(+98)9386064308