Zoha Ahmed
NUST
· 2025
Academic
Program
BE Electrical Engineering
CGPA
3.29
Year
2025
Education
School of Electrical Engineering and Computer Science
Address
Karachi , Pakistan
DOB
—
Career
Current role
—
Target role
—
Skills
Embedded c, Freertos, mbed rtos, Raspberry pi, tinker board, C++, python, assembly, Stm32/arm, Matlab, Deep learning, Embedded systems, ML-based obstacle avoidance, Computer vision, LSTMs, Transformer Networks, TFTs
Interests / quote
Dedicated electrical engineer one can often find tinkering on one project or the other. Interested in deep learning and embedded systems to develop novel solutions.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Zoha Ahmed Cell: 923311388827 Email: zohaaa.ahmed@gmail.com Address: E-6, KHAYABAN-E- ASFIA, BLOCK 13-B, GULSHAN- E-IQBAL Karachi , Pakistan Embedded c Freertos & mbed rtos Raspberry pi, tinker board C++, python, assembly Stm32/arm Matlab Strong work ethics Problem solving and innovation Creativity Teamwork & collaboration Leadership qualities To be furnished upon request. Professional Profile Dedicated electrical engineer one can often find tinkering on one project or the other. Interested in deep learning and embedded systems to develop novel solutions. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.29 , (2019) , (2021) Internship Experience Pak-Thai Digital Innovation Center ( 03-Feb-2025 - 25-Apr-2025 ) Bare-metal programming in STM32 Projects ReachAble An object retrieval assistive care robot for individuals with limited mobility. Controlled by a wearable glove equipped with sensors that could be easily used by people with low technical abilities. Currently working on ML-based obstacle avoidance camera navigation functionality. https://github.com/zoha- a/Glo Displacement Prediction in Self-Mixing Interferometric Signals Displacement prediction in self mixing interferometric signals using deep learning models such as LSTMs, Transformer Networks and TFTs. UGRAD Fall 2023 Fully-funded exchange semester at the University of Tulsa in Oklahoma, United States. Keyboard On Any Surface A Raspberry Pi 4 and a paper printout of a keyboard to enable one to carry a keyboard with them everywhere without actually requiring any of the chunky hardware. Utilized computer vision techniques. https://github.com/zoha-a/Keyboard-On-Any-Surface
AI enrichment
Zoha Ahmed is an Electrical Engineering graduate with experience in embedded systems, bare-metal programming on STM32, and deep learning applications. He has completed an internship at Pak-Thai Digital Innovation Center and developed projects involving computer vision and IoT devices.
Skills (AI)
["Embedded C", "FreeRTOS", "mbed RTOS", "STM32/ARM", "C++", "Python", "Assembly", "Raspberry Pi", "Deep Learning", "Computer Vision", "Matlab", "Bare-metal programming"]
Status: ai_done