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Sameer Kamani
Aspiration Statement
I'm a Habib University senior specializing in AI Engineering. I’m driven by a motto of constant growth and motivated by the rapid pace of innovation within the global technology community.
Core Skills
- Agentic AI
- Fast API
- Lang Chain
- MCP
- Python Lang Graph
Core Competencies
- Collaborates Openly
- Planning
- Takes Initiative
Preferred Career Paths
First priority: Ai/ML Engineer
Second priority: Data Science
Third priority: Software Engineering/Full Stack Engineering
Academic Awards / Achievements
- Dean's List 2025
Experience
Leadership / Meta-curricular
- Food And Hygiene Member, Habib University Student Government
- Events Lead, Gaming Club Habib Debate Union
- Table Tennis Representative, Sports & Recreational Club
- Media Team For Hucon, Multiverse Club
- Pinktober Volunteer, SerVe Club
Internship / Volunteer Work
- Data Science Intern, 10-Pearls (June – August 2025)
- Ai Engineering Intern, Systems Limited (May – August 2025)
- Full Stack Developer (Freelancer), Aura - Al Umeed Rehabilitation Association for Cerebral Palsy (May – August 2025)
- Data Analyst/Marketing Intern, Jaffer Brothers (June – July 2024)
Publications / Creative Projects
- Publication – https://downloads.webis.de/touche/publications/papers/kamani_2025.pdf
- Publication – https://ieeexplore.ieee.org/abstract/document/11204152
Final Year Project
Project Title
Sehat Guru
Description
Sehat Guru is an AI-powered fitness and nutrition companion specifically designed to address the limitations of mainstream health apps like MyFitnessPal, which often lack accurate data for South Asian diets. As health issues like diabetes rise in the region, this project aims to provide culturally relevant dietary advice through a custom dataset of over 5,000 images covering 20+ Pakistani dishes, achieving 95% accuracy in dish recognition. The system utilizes an agentic AI pipeline to deliver personalized nutritional guidance validated against certified nutritionist datasets. By combining a React Native mobile interface with a FastAPI backend, the project offers a secure, real-time solution for users to manage their health within their specific cultural and dietary contexts.
Project Pictures
