sf08405@st.habib.edu.pk
My goal is to design scalable embedded systems, motivated by RTOS and hardware-software integration. I create reliable real-time solutions that connect the dots between hardware and programming.<\/p>\n
sf08405@st.habib.edu.pk
shaaffarooque@gmail.com
https:\/\/www.linkedin.com\/in\/shaaf-farooque-aa619927a\/<\/p>\n
+923150207936<\/p>\n
Dhanani School of Science and Engineering
BS Computer Engineering<\/p>\n
2026
AWS IoT|
\nC \/ C++|
\nPython|
\nVerilog|
\nZephyr RTOS|
N\/A
Vice President,Gaming Club Habib Debate Union|Futsal Lead,Sports & Recreational Club|
Machine Learning Intern,
\n Pakistan Agriculture Research
\n (June \u2013 August 2024)
\n|
Research Paper on A Graph-Enhanced Framework for Predictive Modeling on Bibliographic Data published in Complex Networks and their Applications XIV in May 2026
Repair Vehicle Management System
This project is a vision-based vehicle detection and tracking system developed for Indus Motor Company, aimed at transforming manual logistics into a scalable SaaS solution. Leveraging YOLO for real-time detection and EasyOCR for automated license plate recognition, the system accurately monitors vehicle movement throughout the repair lifecycle.<\/p>\n
A key innovation is the integration of an LLM-driven API, allowing staff to interact with complex vehicle data using natural language queries. The system enhances operational efficiency, minimizes human error in inventory management, and provides actionable insights. Ultimately, it streamlines industrial workflows by providing a robust, automated framework for vehicle tracking and data management in large-scale automotive facilities.
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sf08405@st.habib.edu.pkMy goal is to design scalable embedded systems, motivated by RTOS and hardware-software integration. I create reliable real-time solutions that connect the dots between hardware and programming. sf08405@st.habib.edu.pkshaaffarooque@gmail.comhttps:\/\/www.linkedin.com\/in\/shaaf-farooque-aa619927a\/ +923150207936 Dhanani School of Science and EngineeringBS Computer Engineering 2026AWS IoT| C \/ C++| Python| Verilog| Zephyr RTOS|N\/AVice President,Gaming Club Habib Debate Union|Futsal Lead,Sports & Recreational Club|Machine […]<\/p>\n","protected":false},"author":9,"featured_media":5512,"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":[52],"competencies":[57,62,54],"class_list":["post-6866","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bsce","school-dhanani-school-of-science-and-engineering","class-class-of-2026","minor-not-applicable","competencies-acts-with-ownership","competencies-agility","competencies-problem-solving"],"acf":{"aspiration_statement":"My goal is to design scalable embedded systems, motivated by RTOS and hardware-software integration. I create reliable real-time solutions that connect the dots between hardware and programming.","video_profile_link":"","habib_email":"sf08405@st.habib.edu.pk","email":"shaaffarooque@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/shaaf-farooque-aa619927a\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+923150207936","personal_cell_2":"","core_skills":[{"skill":"AWS IoT"},{"skill":"C \/ C++"},{"skill":"Python"},{"skill":"Verilog"},{"skill":"Zephyr RTOS"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"Vice President,Gaming Club Habib Debate Union"},{"leadership":"Futsal Lead,Sports & Recreational Club"}],"work-experience":[{"experience":"Machine Learning Intern, Pakistan Agriculture Research (June \u2013 August 2024)"}],"publications-projects":[{"publications_title":"","publications":"Research Paper on A Graph-Enhanced Framework for Predictive Modeling on Bibliographic Data published in Complex Networks and their Applications XIV in May 2026"}],"project_title":"Repair Vehicle Management System","fyp_desc":"This project is a vision-based vehicle detection and tracking system developed for Indus Motor Company, aimed at transforming manual logistics into a scalable SaaS solution. Leveraging YOLO for real-time detection and EasyOCR for automated license plate recognition, the system accurately monitors vehicle movement throughout the repair lifecycle.\r\n\r\nA key innovation is the integration of an LLM-driven API, allowing staff to interact with complex vehicle data using natural language queries. The system enhances operational efficiency, minimizes human error in inventory management, and provides actionable insights. Ultimately, it streamlines industrial workflows by providing a robust, automated framework for vehicle tracking and data management in large-scale automotive facilities.","project_pictures":null,"project-video":""},"yoast_head":"\n