at08391@st.habib.edu.pk
\nComputer Engineering student passionate about embedded systems, AI, and IoT. Driven to build intelligent, real-world solutions, I aim to pursue innovative engineering roles bridging hardware, data, and scalable technologies.<\/p>\n
at08391@st.habib.edu.pk
\namenamukarram10@gmail.com
\nwww.linkedin.com\/in\/aamaina-mukarram-621840278
\nPortfolio<\/p>\n
+923312853527<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Engineering<\/p>\n
2026
\nAws\/Cloud Computing|
\nC++|
\nEmbedded Systems (Arduino\/STM32\/ESP32)|
\nMachine Learning (Scikit-Learn, TensorFlow)|
\nPython|
\nIoT Systems|
\nN\/A
\nSoftware Developer; Data Scientist; Computer Engineer;
\nN\/A
\nPr Cabinet Member,Habib University Student Government|Hucon Volunteer,Multiverse Club|Community Work,Serve Club|
\nData Science Intern,
\n10 Pearls
\n(June \u2013 August 2025)
\n|
\nN\/A|
\nNon-Destructive Testing of Foam in Refrigerator Cabinets
\nDeveloped an ultrasonic NDT system to detect internal voids in polyurethane foam using time-of-flight measurements. The system integrates a PGA460 analog front end with an STM32 microcontroller for high-speed data acquisition and real-time signal processing. A DSP pipeline with bandpass filtering and cross-correlation extracts features from ultrasonic echoes to identify defects with high accuracy. Designed using Zephyr RTOS for efficient task management, the solution aims to reduce material waste, improve quality control, and enable cost savings in industrial manufacturing processes.<\/p>\n","protected":false},"excerpt":{"rendered":"
at08391@st.habib.edu.pk Computer Engineering student passionate about embedded systems, AI, and IoT. Driven to build intelligent, real-world solutions, I aim to pursue innovative engineering roles bridging hardware, data, and scalable technologies. at08391@st.habib.edu.pk amenamukarram10@gmail.com www.linkedin.com\/in\/aamaina-mukarram-621840278 Portfolio +923312853527 Dhanani School of Science and Engineering BS Computer Engineering 2026 Aws\/Cloud Computing| C++| Embedded Systems (Arduino\/STM32\/ESP32)| Machine Learning (Scikit-Learn, TensorFlow)| […]<\/p>\n","protected":false},"author":9,"featured_media":8299,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[28],"school":[42],"class":[44],"minor":[],"competencies":[],"class_list":["post-8066","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bsce","school-dhanani-school-of-science-and-engineering","class-class-of-2026"],"acf":{"scholarship":"","aspiration_statement":"Computer Engineering student passionate about embedded systems, AI, and IoT. Driven to build intelligent, real-world solutions, I aim to pursue innovative engineering roles bridging hardware, data, and scalable technologies.","video_profile_link":"","habib_email":"at08391@st.habib.edu.pk","email":"amenamukarram10@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/aamaina-mukarram-621840278","portfolio_Title":"Portfolio","portfolio_link":"","personal_cell_1":"+923312853527","personal_cell_2":"","core_skills":[{"skill":"Aws\/Cloud Computing"},{"skill":"C++"},{"skill":"Embedded Systems (Arduino\/STM32\/ESP32)"},{"skill":"Machine Learning (Scikit-Learn, TensorFlow)"},{"skill":"Python"},{"skill":"IoT Systems"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"Pr Cabinet Member, Habib University Student Government"},{"leadership":"Hucon Volunteer, Multiverse Club"},{"leadership":"Community Work, Serve Club"}],"work-experience":[{"experience":"Data Science Intern, 10 Pearls (June \u2013 August 2025)"}],"publications-projects":[{"publications_title":"","publications":"N\/A"}],"project_title":"Non-Destructive Testing of Foam in Refrigerator Cabinets","fyp_desc":"Developed an ultrasonic NDT system to detect internal voids in polyurethane foam using time-of-flight measurements. The system integrates a PGA460 analog front end with an STM32 microcontroller for high-speed data acquisition and real-time signal processing. A DSP pipeline with bandpass filtering and cross-correlation extracts features from ultrasonic echoes to identify defects with high accuracy. Designed using Zephyr RTOS for efficient task management, the solution aims to reduce material waste, improve quality control, and enable cost savings in industrial manufacturing processes.","project_pictures":[{"project_pic":8724}],"project-video":""},"yoast_head":"\n