hs07141@st.habib.edu.pk
Computer Science graduate and AI Engineer, leading engineering at a cross-border SaaS platform. Experienced in building scalable AI systems, backend development, and applying machine learning to solve real-world problems.<\/p>\n
hs07141@st.habib.edu.pk
hamzaobeidullah@gmail.com
https:\/\/linkedin.com\/in\/syedhamza14
Portfolio<\/p>\n
+923362128404<\/p>\n
Dhanani School of Science and Engineering
BS Computer Science<\/p>\n
2025
AI System Integration (LLMs, APIs, Production Systems)|
\nApplied Machine Learning & AI Systems|
\nBackend & Scalable Systems Development|
\nEngineering Leadership|
\nSystem Design & Technical Architecture|
N\/A
Engineering Manager; AI Engineer; Software Engineer;
N\/A
General Secretary,Gaming Club Habib Debate Union|Volunteer,Computer Science and Engineering Club|Management,Sports & Recreational Club|Volunteer,Serve Club|Volunteer,Computer Science and Engineering Club|
Head Of Ai Engineering,
\n Pakistan Agriculture Research\/Data Pioneer Solutions
\n (October 2025 \u2013 April 2026)
\n|<\/p>\n
Ai Engineer & Tech Lead,
\n Pakistan Agriculture Research\/Data Pioneer Solutions
\n (May \u2013 September 2025)
\n|<\/p>\n
Artificial Intelligence Intern,
\n Innostark Technologies Pvt. Ltd.
\n (April \u2013 June 2024)
\n|
N\/A|
AgriVerse: AI-Based Agricultural Commodity Price Prediction Platform
Developed an AI-powered platform to predict agricultural commodity prices using machine learning techniques, including LSTMs and ensemble models. The system integrates real-time data pipelines with a full-stack architecture, enabling continuous data ingestion, processing, and prediction. A multilingual dashboard was designed to ensure accessibility for diverse, non-technical users. The project aimed to address price volatility in agricultural markets by providing reliable, data-driven forecasts to support better decision-making for stakeholders. Key outcomes included improved prediction accuracy across multiple commodities and the successful deployment of an end-to-end system capable of handling real-world data. The project demonstrates the practical application of AI in solving domain-specific challenges at scale while prioritizing usability and impact.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
hs07141@st.habib.edu.pkComputer Science graduate and AI Engineer, leading engineering at a cross-border SaaS platform. Experienced in building scalable AI systems, backend development, and applying machine learning to solve real-world problems. hs07141@st.habib.edu.pkhamzaobeidullah@gmail.comhttps:\/\/linkedin.com\/in\/syedhamza14Portfolio +923362128404 Dhanani School of Science and EngineeringBS Computer Science 2025AI System Integration (LLMs, APIs, Production Systems)| Applied Machine Learning & AI Systems| Backend & Scalable […]<\/p>\n","protected":false},"author":9,"featured_media":7185,"menu_order":0,"comment_status":"","ping_status":"","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[29],"school":[42],"class":[41],"minor":[],"competencies":[],"class_list":["post-8122","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025"],"acf":{"scholarship":"","aspiration_statement":"Computer Science graduate and AI Engineer, leading engineering at a cross-border SaaS platform. Experienced in building scalable AI systems, backend development, and applying machine learning to solve real-world problems.","video_profile_link":"","habib_email":"hs07141@st.habib.edu.pk","email":"hamzaobeidullah@gmail.com","linkedin_link":"https:\/\/linkedin.com\/in\/syedhamza14","portfolio_Title":"Portfolio","portfolio_link":"","personal_cell_1":"+923362128404","personal_cell_2":"","core_skills":[{"skill":"AI System Integration (LLMs, APIs, Production Systems)"},{"skill":"Applied Machine Learning & AI Systems"},{"skill":"Backend & Scalable Systems Development"},{"skill":"Engineering Leadership"},{"skill":"System Design & Technical Architecture"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"General Secretary, Gaming Club Habib Debate Union"},{"leadership":"Volunteer, Computer Science and Engineering Club"},{"leadership":"Management, Sports & Recreational Club"},{"leadership":"Volunteer, Serve Club"},{"leadership":"Volunteer, Computer Science and Engineering Club"}],"work-experience":[{"experience":"Head Of Ai Engineering, Pakistan Agriculture Research\/Data Pioneer Solutions (October 2025 \u2013 April 2026)"},{"experience":"Ai Engineer & Tech Lead, Pakistan Agriculture Research\/Data Pioneer Solutions (May \u2013 September 2025)"},{"experience":"Artificial Intelligence Intern, Innostark Technologies Pvt. Ltd. (April \u2013 June 2024)"}],"publications-projects":[{"publications_title":"","publications":"N\/A"}],"project_title":"AgriVerse: AI-Based Agricultural Commodity Price Prediction Platform","fyp_desc":"Developed an AI-powered platform to predict agricultural commodity prices using machine learning techniques, including LSTMs and ensemble models. The system integrates real-time data pipelines with a full-stack architecture, enabling continuous data ingestion, processing, and prediction. A multilingual dashboard was designed to ensure accessibility for diverse, non-technical users. The project aimed to address price volatility in agricultural markets by providing reliable, data-driven forecasts to support better decision-making for stakeholders. Key outcomes included improved prediction accuracy across multiple commodities and the successful deployment of an end-to-end system capable of handling real-world data. The project demonstrates the practical application of AI in solving domain-specific challenges at scale while prioritizing usability and impact.","project_pictures":null,"project-video":""},"yoast_head":"\n