ic08351@st.habib.edu.pk
\nA full-stack developer drawn to product and information security, aiming to develop impactful solutions that strengthen trust and resilience in digital platforms.<\/p>\n
ic08351@st.habib.edu.pk
\nifrahchishti2004@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/ifrahchishti\/
\nPortfolio<\/p>\n
+923001713155<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2026
\nC|
\nC++|
\nGit|
\nJavascript|
\nPython|
\nActs with Ownership; Adaptability; Agility; Drive for Results; Planning; Takes Initiative
\nSecurity Engineer; Infrastructure Security Engineer; Network Engineer;
\nN\/A
\nIt & Web Dev Lead,Entrepreneurship Club|
\nLead Instructor,
\nCodeschool
\n(July 2024 \u2013 April 2026)
\n|<\/p>\n
Mint Rewards,
\nJunior Full-Stack Developer
\n(February \u2013 April 2026)
\n|
\nN\/A|
\nTeachWise: An Intelligent CMS
\nTeachWise is a system designed to address the manual and disconnected processes in small-scale teaching institutions that lead to inefficiencies, scheduling conflicts, and inconsistencies in instructor-student matching.<\/p>\n
To improve teaching quality assessment, we propose a hybrid automated approach that combines prosodic analysis with curriculum fidelity evaluation, offering a more objective and scalable alternative to manual observations.<\/p>\n
To address scheduling challenges, we have developed an intelligent algorithm based on a genetic algorithm that considers multiple factors to generate optimal class assignments, minimizing conflicts and maximizing resource utilization.
\nBy integrating these two components, TeachWise provides a unified solution that streamlines operations, enhances instructor evaluation, and supports the efficient management of classes in small-scale educational institutions.<\/p>\n","protected":false},"excerpt":{"rendered":"
ic08351@st.habib.edu.pk A full-stack developer drawn to product and information security, aiming to develop impactful solutions that strengthen trust and resilience in digital platforms. ic08351@st.habib.edu.pk ifrahchishti2004@gmail.com https:\/\/www.linkedin.com\/in\/ifrahchishti\/ Portfolio +923001713155 Dhanani School of Science and Engineering BS Computer Science 2026 C| C++| Git| Javascript| Python| Acts with Ownership; Adaptability; Agility; Drive for Results; Planning; Takes Initiative Security […]<\/p>\n","protected":false},"author":9,"featured_media":8557,"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":[57,60,62,61,58,59],"class_list":["post-8129","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2026","competencies-acts-with-ownership","competencies-adaptability","competencies-agility","competencies-drive-for-results","competencies-planning","competencies-takes-initiative"],"acf":{"scholarship":"","aspiration_statement":"A full-stack developer drawn to product and information security, aiming to develop impactful solutions that strengthen trust and resilience in digital platforms.","video_profile_link":"","habib_email":"ic08351@st.habib.edu.pk","email":"ifrahchishti2004@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/ifrahchishti\/","portfolio_Title":"Portfolio","portfolio_link":"","personal_cell_1":"+923001713155","personal_cell_2":"","core_skills":[{"skill":"C"},{"skill":"C++"},{"skill":"Git"},{"skill":"Javascript"},{"skill":"Python"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"It & Web Dev Lead, Entrepreneurship Club"}],"work-experience":[{"experience":"Lead Instructor, Codeschool (July 2024 \u2013 April 2026)"},{"experience":"Mint Rewards, Junior Full-Stack Developer (February \u2013 April 2026)"}],"publications-projects":[{"publications_title":"","publications":"N\/A"}],"project_title":"TeachWise: An Intelligent CMS","fyp_desc":"TeachWise is a system designed to address the manual and disconnected processes in small-scale teaching institutions that lead to inefficiencies, scheduling conflicts, and inconsistencies in instructor-student matching.\r\n\r\nTo improve teaching quality assessment, we propose a hybrid automated approach that combines prosodic analysis with curriculum fidelity evaluation, offering a more objective and scalable alternative to manual observations.\r\n\r\nTo address scheduling challenges, we have developed an intelligent algorithm based on a genetic algorithm that considers multiple factors to generate optimal class assignments, minimizing conflicts and maximizing resource utilization.\r\nBy integrating these two components, TeachWise provides a unified solution that streamlines operations, enhances instructor evaluation, and supports the efficient management of classes in small-scale educational institutions.","project_pictures":[{"project_pic":9027}],"project-video":""},"yoast_head":"\n