As an aspiring Software Developer, my aim is to work on SaaS applications that leverage the realm of Agentic AI to solve complex, real-world problems.<\/p>\n
asadmuhammad519@gmail.com
\nwww.linkedin.com\/in\/asad-muhammad\/<\/p>\n
+92 318 234 0341<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2025
\nDeep Learning, LLMs, MERN, Next.js, SQL
\nDean’s List Fall 2022 Fall 2023 Fall 2024 President’s List Fall 2023 Spring 2023
\nTeaching Assistant for Operating Systems
\nSoftware Quality Assurance Intern, 10Pearls (Augt 2024 – Oct 2025) Information Technology Intern, Continental Biscuits Limited<\/p>\n
HireHub
\nThe resume screening project utilizing LlamaIndex aimed to automate and enhance the hiring process by leveraging natural language processing (NLP) and semantic search to match job descriptions with relevant resumes efficiently. The system indexed resumes into a vector space using embeddings, enabling fast and accurate querying based on semantic similarity rather than just keywords. This approach significantly reduced manual effort, improved matching accuracy, and minimized bias, making the screening process more scalable and cost-effective. Key benefits included faster resume processing, better candidate-job alignment, and reduced recruiter workload, though challenges like data quality and bias in training data needed addressing. Future work could focus on integrating with Applicant Tracking Systems (ATS), adding multilingual support, and refining NLP models for even greater accuracy and fairness. Overall, the project demonstrated the potential of AI-driven tools to revolutionize recruitment workflows.<\/p>\n","protected":false},"excerpt":{"rendered":"
As an aspiring Software Developer, my aim is to work on SaaS applications that leverage the realm of Agentic AI to solve complex, real-world problems. asadmuhammad519@gmail.com www.linkedin.com\/in\/asad-muhammad\/ +92 318 234 0341 Dhanani School of Science and Engineering BS Computer Science 2025 Deep Learning, LLMs, MERN, Next.js, SQL Dean’s List Fall 2022 Fall 2023 Fall 2024 […]<\/p>\n","protected":false},"author":9,"featured_media":6415,"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":[41],"minor":[52],"class_list":["post-6264","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025","minor-not-applicable"],"acf":{"aspiration_statement":"As an aspiring Software Developer, my aim is to work on SaaS applications that leverage the realm of Agentic AI to solve complex, real-world problems. ","video_profile_link":"","habib_email":"","email":"asadmuhammad519@gmail.com","linkedin_link":"https:\/\/linkedin.com\/in\/asad-muhammad\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 318 234 0341","personal_cell_2":"","core_skills":[{"skill":"Deep Learning, LLMs, MERN, Next.js, SQL"}],"academic_awards":[{"academic_record":"Dean's List Fall 2022 Fall 2023 Fall 2024 President's List Fall 2023 Spring 2023"}],"leadership-experiences":[{"leadership":"Teaching Assistant for Operating Systems"}],"work-experience":[{"experience":"Software Quality Assurance Intern, 10Pearls (Augt 2024 - Oct 2025) Information Technology Intern, Continental Biscuits Limited"}],"publications-projects":null,"project_title":"HireHub","fyp_desc":"The resume screening project utilizing LlamaIndex aimed to automate and enhance the hiring process by leveraging natural language processing (NLP) and semantic search to match job descriptions with relevant resumes efficiently. The system indexed resumes into a vector space using embeddings, enabling fast and accurate querying based on semantic similarity rather than just keywords. This approach significantly reduced manual effort, improved matching accuracy, and minimized bias, making the screening process more scalable and cost-effective. Key benefits included faster resume processing, better candidate-job alignment, and reduced recruiter workload, though challenges like data quality and bias in training data needed addressing. Future work could focus on integrating with Applicant Tracking Systems (ATS), adding multilingual support, and refining NLP models for even greater accuracy and fairness. Overall, the project demonstrated the potential of AI-driven tools to revolutionize recruitment workflows.","project_pictures":null,"project-video":""},"yoast_head":"\n