Amir Mallaei | Mechatronics & AI Engineer

About Me

Highly motivated Mechatronics graduate (GPA: 3.77/4) with expertise in Computer Vision, Robotics, and Deep Learning. I develop AI systems from concept to production, with hands-on experience in ROS, Deep SORT, Reinforcement Learning, and full-stack development. Currently seeking Ph.D. opportunities in autonomous systems and human-robot interaction.

Job Experience

Senior AI & Full Stack Developer

Hedayat Co. | Jun 2024 - Present

Designed AI-powered platform using computer vision (OpenCV) for face verification and intelligent user matching.
Integrated ML components into a scalable backend with Django, Docker, Celery.

Senior Backend Developer

Kandoo Co. | May 2022 - Jun 2024

Architected real-time backend systems optimizing spatial queries with PostGIS.
Applied systems thinking to solve complex routing and scheduling challenges.

CTO & Backend Developer

Konkoorism Academy | Aug 2020 - May 2022

Led development of high-availability educational platform with secure user management and monitoring.

Featured Projects

Real-Time Human Follower Robot

Full System Architecture: Architected a complete ROS perception and control pipeline for autonomous person-following.
Novel Re-Identification: Designed a lightweight Re-ID method to reliably re-acquire lost subjects.
Smooth Motion Control: Engineered a proportional controller for fluid robot motion, enhancing human-robot interaction.

Technologies: ROS, Python, PyTorch, YOLO-NAS, DeepSORT

Source Code

Real-Time Hand Gesture Recognition

System Architecture: Architected a real-time HCI using a two-stage vision pipeline (YOLOv8 for detection, MediaPipe for pose estimation).
Advanced Feature Development: Developed a robust gesture engine for full mouse control, scrolling, and clicking.
Real-Time Performance & HCI: Engineered for low-latency performance from a live webcam for an intuitive user experience.

Technologies: Python, OpenCV, MediaPipe, YOLOv8

Source Code

Intelligent Warehouse Management

Predictive AI Model: Implemented a Recurrent Neural Network (RNN) to forecast usage trends based on historical data patterns.
Full-Stack Application: Built a robust, interactive Django system to display real-time predictions and facilitate informed decision-making.

Technologies: Python, TensorFlow, Django, Docker

Private Repo

Achievements & Research

Key Achievements

✓Selected as Top Researcher, Dept. of Electrical Engineering.
✓Ranked 1st GPA (3.77/4) in Master of Mechatronics cohort.
✓Ranked in Top 3% of National University Entrance Exam (~30k participants).
✓Received National Graduate Full Scholarship.

Publications

Enhancing robot vision: A lightweight statistical method for subject re-identification.

Mallaei, A., Nooshyar, M., & Akbarimajd, A. (Status: Under Review)

View Preprint

Teaching & Mentorship

Python and Machine Learning Instructor | IHIM Academy (Oct 2023 - Present)
Robotic and AVR Instructor | Institute of Technology (Jul 2015 - Oct 2016)
Teacher Assistant, Microprocessor Lab | Azad University (Sep 2011 - Dec 2011)

Core Competencies

Python

ROS / Robotics

Deep Learning (PyTorch/TensorFlow)

Full Stack Development (Django)

Computer Vision (OpenCV)

Docker / Deployment

Hi, I'm Amir Mallaei