Ahtisham Uddin

Ahtisham Uddin

Towfiq Chinoy & Family HU TOPS Scholar

Graduate of 2026
BS Computer Science

Aspiration Statement

Computer Science student focused on integrating AI into daily applications. With software engineering experience, I aim to build, scale, and manage intelligent systems on the cloud for real-world impact.

Core Skills

  • LangChain
  • NodeJS
  • Python
  • React
  • TensorFlow

Core Competencies

  • Adaptability
  • Collaborates Openly
  • Planning
  • Takes Initiative

Preferred Career Paths

First priority: AI/ML Engineer

Second priority: Software Engineer

Third priority: DevOps Engineer

Experience

Leadership / Meta-curricular

  • Habib Orchestra Performance - Tabla Player
  • Freshman Council - Public Relations, Habib University Student Government
  • Volunteer - Hucon, Multiverse Club
  • Team Lead Volleyball, Sports & Recreational Club

Internship / Volunteer Work

  • Software Engineer, EmergiTech Solutions (October 2025 – March 2026)
  • It Intern, PayFast (July – August 2025)
  • Data Science Intern, 10Pearls (June – July 2025)

Publications / Creative Projects

  • Publication – Participated in TalentCLEF Lab at CLEF 2025 with a published paper on multilingual talent intelligence and information retrieval.

Final Year Project

Project Title

SehatGuru: An AI-based Nutrition Tracking App for Pakistani Dietary Habits

Description

SehatGuru is an AI-powered mobile application designed to bridge the gap between global health technology and Pakistani dietary habits. The project aims to provide culturally relevant nutrition and fitness guidance through an integrated AI ecosystem that can automatically identify regional dishes and provide personalized health advice. By addressing the high prevalence of lifestyle-related diseases in the country, the app simplifies health tracking for local cuisines that are often overlooked by global platforms. The primary impact lies in its ability to offer high-accuracy, context-aware insights, making sustainable fitness more accessible and effective for the Pakistani demographic through localized, data-driven support.

Project Pictures