Muhammad Ibtasam Amir

Academic

Career

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Muhammad Ibtasam Amir
Cell: 03330431668 |  Email: ibtasamali04@gmail.com
LinkedIn: https://www.linkedin.com/in/ibtasamamir/
Address: HOUSE NO 45 , Street no 2, block a, asim town, canal bank road, harbanspura , Lahore , Pakistan
PROFESSIONAL PROFILE
Curious and hands-on embedded systems engineer with experience in firmware development, hardware design, and end-to-end
system implementation. Skilled in developing and debugging real-time applications on STM32 and ESP32 microcontrollers, and
designing PCBs integrating power electronics, communication interfaces, and sensors. Experienced in interfacing peripherals over
SPI, I²C, UART, and RS-485, and implementing real-time systems with FreeRTOS. Strong background in energy monitoring devices,
emphasizing accuracy, reliability, and attention to detail. Passionate about prototyping, testing, and refining designs to build robust,
long-lasting systems, bridging the gap between firmware, hardware, and production.
EDUCATION
Bachelor in Electrical Engineering
School of Electrical Engineering and Computer Sciences , Islamabad , 3.43 (2026)
INTERNSHIP EXPERIENCE
EmbedAIoT
01-Jun-2024 - 01-Sep-2024
Gained hands-on experience in IoT and embedded systems by developing firmware for ESP32 microcontrollers and implementing
LoRa-based communication. Worked on prototyping and testing embedded devices, explored energy metering ICs, and programmed
them for accurate data acquisition. Participated in full-cycle development from hardware interfacing to firmware integration, gaining
practical exposure to sensors, communication protocols, and real-time embedded design.
MH TechFusion
08-May-2025 - 25-Sep-2025
Designed and developed PCB layouts, selected components, and created schematics for embedded systems projects. Gained
hands-on experience in component selection, footprint verification, and signal/power integrity considerations.
EmbedAIoT
01-Sep-2024 - 25-Jan-2026
Embedded System Engineer Worked on the design and development of IoT products, including weather stations and energy meters.
Designed PCBs, selected components, and developed firmware for microcontrollers such as ESP32/ESP8266, STM32, 8051, and
PIC. Implemented communication protocols including LoRa, ESP-NOW, RS485, Wi-Fi, BLE, and 4G/LTE modules. Gained hands-on
experience in end-to-end system development, from hardware design and prototyping to firmware integration and testing.
FINAL YEAR PROJECT
RF Fingerprinting for IoT Device Security Using Deep Learning
Developed a Radio Frequency Fingerprinting system using the ADRV9364-Z7020 SDR platform to uniquely identify and classify
wireless transmitters based on their RF hardware characteristics. The system captures and processes baseband I/Q data using the
Zynq-7020 SoC, combining FPGA-based signal acquisition with processor-side feature extraction and analysis. By leveraging subtle
RF impairments such as frequency offset, phase noise, and transient behavior, the design enables reliable device identification and
authentication at the physical layer for secure wireless communications.
TECHNICAL EXPERTISE
Embedded Systems & Microcontrollers

AI enrichment