Share Profile
Arsal Jangda
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.
Core Skills
- C# and .Net (Backend Development)
- JavaScript (React, Node.js)
- Machine Learning (Computer Vision, PyTorch, TensorFlow)
- Python
- SQL and Database Management (MongoDB, PostgreSQL)
Core Competencies
- Drive for Results
Preferred Career Paths
First priority: Software Engineer
Second priority: Product Associate
Third priority: AI/ML Engineer
Experience
Leadership / Meta-curricular
- Cabinet Member, Habib University Student Government
Internship / Volunteer Work
- Safarsystems, Freelancing (December 2025 – January 2026)
- Hamara Mustaqbil, Volunteer (November 2025 – March 2026)
- Aga Khan University, Platform Operations Intern (June – August 2025)
Final Year Project
Project Title
SehatGuru: AI-Based Nutrition and Fitness Mobile Application
Description
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
