mh08062@st.habib.edu.pk
I build production-grade web applications and AI systems. Having shipped 50+ projects globally and led engineering at an a16z-backed startup, I seek roles with full technical ownership.<\/p>\n
mh08062@st.habib.edu.pk
hassaniqbal19343@gmail.com
https:\/\/www.linkedin.com\/in\/muhammad-hassan-747aa0251\/
Portfolio
https:\/\/on.contra.com\/TG7Lzh
+923240464504<\/p>\n
Dhanani School of Science and Engineering
BS Computer Science<\/p>\n
2026
AI Integration|
\nNext.js\/React|
\nNode.js|
\nPostgreSQL \/ Supabase|
\nTypescript|
N\/A
Full-Stack Developer; AI Developer; Software Engineer;
Dean’s List 2023|
\nHigh Achievement Scholarship 2023, 2024, 2025, 2026|
Icpc (Qualified for Nationals)|
\nMember,Entrepreneurship Club|
\nMember,Computer Science and Engineering Club|
Freelancing\/Contra,
\n Fullstack Developer | Ai Developer
\n (February 2023 \u2013 December 2026)
\n|<\/p>\n
Chronicler Labs,
\n Frontend Lead | Fullstack Developer
\n (January 2025 \u2013 October 2026)
\n|
Award \u2013 Runner-up, Invent for the Planet, Marseille, France (240 teams, 25 countries)|
\nAward \u2013 Winner Research Project, FIRST Lego League Internationals Europe, Hungary|
FMCG Shelf Monitoring
Retail shelf monitoring remains largely manual \u2014 brand representatives physically inspect stores while surveillance teams watch camera feeds. Our system automates this using YOLOv8 with a novel business-rules-first approach grounded in consumer psychology research. Unlike existing solutions that simply count products, we define “detected” through three criteria: 70% face visibility, two-row reachability, and correct orientation \u2014 measuring purchasability, not just presence. Validated through field research at Springs Supermarket and approved by Carrefour and Al-Fatah via our industry partner Multinet, the system achieves 97.2% mAP and generates automated severity-based restocking alerts. Built as a full-stack application with Next.js, FastAPI, and Supabase, it reduces response time from hours to minutes, delivering real-time shelf compliance data previously unavailable to FMCG brands.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
mh08062@st.habib.edu.pkI build production-grade web applications and AI systems. Having shipped 50+ projects globally and led engineering at an a16z-backed startup, I seek roles with full technical ownership. mh08062@st.habib.edu.pkhassaniqbal19343@gmail.comhttps:\/\/www.linkedin.com\/in\/muhammad-hassan-747aa0251\/Portfoliohttps:\/\/on.contra.com\/TG7Lzh+923240464504 Dhanani School of Science and EngineeringBS Computer Science 2026AI Integration| Next.js\/React| Node.js| PostgreSQL \/ Supabase| Typescript|N\/AFull-Stack Developer; AI Developer; Software Engineer;Dean’s List 2023| High Achievement Scholarship 2023, […]<\/p>\n","protected":false},"author":9,"featured_media":7185,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[29],"school":[42],"class":[44],"minor":[],"competencies":[],"class_list":["post-8133","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2026"],"acf":{"scholarship":"","aspiration_statement":"I build production-grade web applications and AI systems. Having shipped 50+ projects globally and led engineering at an a16z-backed startup, I seek roles with full technical ownership.","video_profile_link":"","habib_email":"mh08062@st.habib.edu.pk","email":"hassaniqbal19343@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/muhammad-hassan-747aa0251\/","portfolio_Title":"Portfolio","portfolio_link":"https:\/\/on.contra.com\/TG7Lzh","personal_cell_1":"+923240464504","personal_cell_2":"","core_skills":[{"skill":"AI Integration"},{"skill":"Next.js\/React"},{"skill":"Node.js"},{"skill":"PostgreSQL \/ Supabase"},{"skill":"Typescript"}],"academic_awards":[{"academic_record":"Dean's List 2023"},{"academic_record":"High Achievement Scholarship 2023, 2024, 2025, 2026"}],"leadership-experiences":[{"leadership":"Icpc (Qualified for Nationals)"},{"leadership":"Member, Entrepreneurship Club"},{"leadership":"Member, Computer Science and Engineering Club"}],"work-experience":[{"experience":"Freelancing\/Contra, Fullstack Developer"},{"experience":"Ai Developer (February 2023 \u2013 December 2026)"},{"experience":"Chronicler Labs, Frontend Lead"},{"experience":"Fullstack Developer (January 2025 \u2013 October 2026)"}],"publications-projects":[{"publications_title":"","publications":"Award \u2013 Runner-up, Invent for the Planet, Marseille, France (240 teams, 25 countries)"},{"publications_title":"","publications":"Award \u2013 Winner Research Project, FIRST Lego League Internationals Europe, Hungary"}],"project_title":"FMCG Shelf Monitoring","fyp_desc":"Retail shelf monitoring remains largely manual \u2014 brand representatives physically inspect stores while surveillance teams watch camera feeds. Our system automates this using YOLOv8 with a novel business-rules-first approach grounded in consumer psychology research. Unlike existing solutions that simply count products, we define \"detected\" through three criteria: 70% face visibility, two-row reachability, and correct orientation \u2014 measuring purchasability, not just presence. Validated through field research at Springs Supermarket and approved by Carrefour and Al-Fatah via our industry partner Multinet, the system achieves 97.2% mAP and generates automated severity-based restocking alerts. Built as a full-stack application with Next.js, FastAPI, and Supabase, it reduces response time from hours to minutes, delivering real-time shelf compliance data previously unavailable to FMCG brands.","project_pictures":[{"project_pic":8746}],"project-video":""},"yoast_head":"\n