Embedded AI / Robotics / Industrial Intelligence
Embedded Systems Engineer | Firmware | PCB Design | Robotics
Building deployment-oriented autonomous systems combining robotics, computer vision, embedded electronics, industrial automation, and AI-driven perception.
Featured case studies
Each case study is structured around the problem, constraints, architecture, ownership, deployment details, and measurable outcomes.
Led the research and development of industrial IoT telemetry systems based on STM32 embedded hardware, GSM communication, industrial Modbus networking, and cloud-connected monitoring infrastructure, with more than 2000 deployed devices across industrial and medical applications.
Developed an industrial electromagnetic slag-detection platform for molten-steel casting optimization using FPGA-based signal analysis, custom six-layer PCBs, industrial PLC systems, and real-time electromagnetic sensing.
Developed an industrial capacitive moisture-measurement system for drywall manufacturing using custom sensing hardware, STM32H7 embedded processing, Ethernet telemetry, and Qt-based heatmap visualization software.
Designed and developed an AVR-based embedded instrumentation system for precision scanning and measurement of alpha-particle beam intensity using sub-millimeter motion control, high-resolution current acquisition, and serial communication.
Co-founded a robotics startup focused on development of industrial robotic arms, autonomous manipulation systems, ROS2-based robot control, EtherCAT motion systems, and computer-vision-guided robotics for industrial and cinematic applications.
Developed embedded control systems, autonomous navigation, SLAM, and UAV subsystems for the YRA RoboCup Rescue Team, achieving two international Best-in-Class first-place awards at RoboCup 2014 in Brazil.
Developed an autonomous confined-space FPV drone system for pipe inspection using PX4 firmware modification, optical-flow fusion, laser-based centering, and YOLO-based defect segmentation.
Developed an autonomous healthcare robotics platform during the COVID-19 pandemic for ICU assistance, telepresence communication, patient monitoring, and autonomous medicine delivery.
Developed an autonomous PX4-based drone platform for utility-infrastructure inspection and copper-cable recovery using Mask R-CNN segmentation, monocular metric depth estimation, and vision-guided autonomous positioning.
Developed an autonomous robotic solar-panel cleaning system using computer vision, embedded control, and environmental sensing for industrial solar-farm deployment.
Developed an autonomous crawlspace-inspection robot using ROS2, Nav2, SLAM Toolbox, frontier exploration, AI-based hazard detection, and remote iOS-based operation.
Developed a distributed industrial process-monitoring system for drywall manufacturing using STM32 embedded hardware, Modbus RTU/TCP communication, custom infrared temperature sensing, and centralized Python-based monitoring software.
Conducted industrial AI research on image and video dehazing using transformer-based architectures, diffusion-assisted reconstruction, optical flow, and hybrid dual-domain neural networks during a Mitacs internship at MacDon Industries.
Developed custom CNC automation systems including STM32-based GRBL motion controllers, industrial glue-application CNC platforms, and computer-vision-based manufacturing quality-control systems.
Developed an industrial gas-analysis and process-monitoring system for stainless-steel VOD manufacturing using embedded sensing hardware, industrial gas sensors, and Qt-based visualization software.
Developed a local industrial AI assistant for Iran Alloy Steel by converting an internal technical wiki into a Retrieval-Augmented Generation system powered by a locally deployed Qwen2.5 LLM.
Developed a locally deployed AI assistant integrated into this portfolio website using Retrieval-Augmented Generation and an NVIDIA Jetson AGX Orin for on-device inference.
Systems profile
Full-stack intelligent systems spanning embedded electronics, real-time control, ROS2 robotics, industrial perception pipelines, and deployment-validated autonomous systems.
Sensors, PCB design, STM32/ESP32 firmware, signal integrity, bring-up.
Real-time loops, PLC/VFD systems, EtherCAT, Modbus, ROS2 coordination, validation.
Computer vision, industrial perception, ML pipelines, LLM/RAG diagnostic workflows.
Manufacturing transition, field reliability, troubleshooting workflows, operational AI handoff.
Capability map
Amir's experience organized by the engineering layers behind intelligent machines: embedded systems, robotics, computer vision, LLM/RAG, and industrial automation.
Technical writing
Writing should act as proof of technical judgment: practical, grounded, and connected to deployment realities.
Technical collaboration
Work at the intersection of real-time systems, applied AI, hardware integration, robotic inspection, and industrial validation.