aj08514@st.habib.edu.pk
\nComputer Science student focused on building scalable software and AI solutions, aiming to start as a Software Engineer specializing in backend systems and applied machine learning.<\/p>\n
aj08514@st.habib.edu.pk
\narsaljangda2015@gmail.com
\nwww.linkedin.com\/in\/arsal-jangda-1a806530b
\nPortfolio<\/p>\n
+923347369968<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2026
\nC# and .Net (Backend Development)|
\nJavaScript (React, Node.js)|
\nMachine Learning (Computer Vision, PyTorch, TensorFlow)|
\nPython|
\nSQL and Database Management (MongoDB, PostgreSQL)|
\nDrive for Results
\nSoftware Engineer; Product Associate; AI\/ML Engineer;
\nN\/A
\nCabinet Member,Habib University Student Government|
\nSafarsystems,
\nFreelancing
\n(December 2025 \u2013 January 2026)
\n|<\/p>\n
Hamara Mustaqbil,
\nVolunteer
\n(November 2025 \u2013 March 2026)
\n|<\/p>\n
Aga Khan University,
\nPlatform Operations Intern
\n(June \u2013 August 2025)
\n|
\nN\/A|
\nSehatGuru: AI-Based Nutrition and Fitness Mobile Application
\nSehatGuru is a cross-platform mobile application that uses artificial intelligence to enable culturally relevant nutrition tracking for Pakistani users. The system integrates a ConvNeXt-based deep learning model for image-based food classification of local dishes and a FastAPI backend for processing and serving nutritional data. It calculates personalized calorie and macronutrient targets using the Mifflin-St Jeor equation and user-specific inputs. The application also includes a Retrieval-Augmented Generation (RAG) chatbot built with LangGraph and Google Gemini, which provides dietary guidance grounded in Pakistani Dietary Guidelines. By combining computer vision, backend APIs, and intelligent systems, the project delivers an accurate, scalable, and context-aware health solution.<\/p>\n","protected":false},"excerpt":{"rendered":"
aj08514@st.habib.edu.pk Computer Science student focused on building scalable software and AI solutions, aiming to start as a Software Engineer specializing in backend systems and applied machine learning. aj08514@st.habib.edu.pk arsaljangda2015@gmail.com www.linkedin.com\/in\/arsal-jangda-1a806530b Portfolio +923347369968 Dhanani School of Science and Engineering BS Computer Science 2026 C# and .Net (Backend Development)| JavaScript (React, Node.js)| Machine Learning (Computer Vision, PyTorch, […]<\/p>\n","protected":false},"author":9,"featured_media":8401,"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":[61],"class_list":["post-8089","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-drive-for-results"],"acf":{"scholarship":"","aspiration_statement":"Computer Science student focused on building scalable software and AI solutions, aiming to start as a Software Engineer specializing in backend systems and applied machine learning.","video_profile_link":"","habib_email":"aj08514@st.habib.edu.pk","email":"arsaljangda2015@gmail.com","linkedin_link":"https:\/\/linkedin.com\/in\/arsal-jangda-1a806530b","portfolio_Title":"Portfolio","portfolio_link":"","personal_cell_1":"+923347369968","personal_cell_2":"","core_skills":[{"skill":"C# and .Net (Backend Development)"},{"skill":"JavaScript (React, Node.js)"},{"skill":"Machine Learning (Computer Vision, PyTorch, TensorFlow)"},{"skill":"Python"},{"skill":"SQL and Database Management (MongoDB, PostgreSQL)"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"Cabinet Member, Habib University Student Government"}],"work-experience":[{"experience":"Safarsystems, Freelancing (December 2025 \u2013 January 2026)"},{"experience":"Hamara Mustaqbil, Volunteer (November 2025 \u2013 March 2026)"},{"experience":"Aga Khan University, Platform Operations Intern (June \u2013 August 2025)"}],"publications-projects":[{"publications_title":"","publications":"N\/A"}],"project_title":"SehatGuru: AI-Based Nutrition and Fitness Mobile Application","fyp_desc":"SehatGuru is a cross-platform mobile application that uses artificial intelligence to enable culturally relevant nutrition tracking for Pakistani users. The system integrates a ConvNeXt-based deep learning model for image-based food classification of local dishes and a FastAPI backend for processing and serving nutritional data. It calculates personalized calorie and macronutrient targets using the Mifflin-St Jeor equation and user-specific inputs. The application also includes a Retrieval-Augmented Generation (RAG) chatbot built with LangGraph and Google Gemini, which provides dietary guidance grounded in Pakistani Dietary Guidelines. By combining computer vision, backend APIs, and intelligent systems, the project delivers an accurate, scalable, and context-aware health solution.","project_pictures":[{"project_pic":8840}],"project-video":""},"yoast_head":"\n