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Muhammad Ibtasam Amir

NUST · 2026 · 405545
Email
mamir.bee22seecs@seecs.edu.pk
Phone
03330431668
LinkedIn
https://www.linkedin.com/in/ibtasamamir
GitHub

Academic

Program
CGPA
3.43
Year
2026
Education
Bachelor in Electrical Engineering School of Electrical Engineering and Computer Sciences , Islamabad , 3.43 (2026)
Address
HOUSE NO 45 , Street no 2, block a, asim town, canal bank road, harbanspura , Lahore , Pakistan
DOB

Career

Current role
Target role
Skills
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

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.
Status: ai_done
Provenance
Source file:
Created: 1777448793