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Muhammad Saad
Aspiration Statement
I enjoy the engineering field and am looking for opportunities in core backend/AI engineering in global companies/startups.
Core Skills
- Go
- Next.js
- Python
- PyTorch
- LangChain
Preferred Career Paths
First priority: Backend Engineer
Second priority: AI Engineer
Third priority: Software Engineer
Academic Awards / Achievements
- Dean's List 2023, 2024, 2025
- President's List 2023, 2025
Experience
Leadership / Meta-curricular
- Google Developer Group (GDG) Habib University - Campus Lead + Core Team Member
- Treasurer, Entrepreneurship Club
- Academic Affairs Cabinet - Cs Batch Of 2026 Representative, Habib University Student Government
Internship / Volunteer Work
- Backend Engineer, Vyro AI (ImagineArt, Chatly) (December 2025 – June 2026)
- Software Development Intern - GSoC, Google Deepmind (May – August 2025)
- Full Stack AI Intern, Maven AI
Publications / Creative Projects
- Award – ICPC Asia West Finalist - Top team from Pakistan
- Hackathon – Winner Google DeepMind Nano-Banana Hackathon - $5k in Gemini API credits
- Award – ICPC Regionals Gold Medalist
- Award – 2nd Runner-up Invent for the Planet (IFTP) World Finals in France - $5k Award
- Publication – 3 International conference publications related to Advance AI
Final Year Project
Project Title
N/A
Description
TurboDiff is a custom 2D differentiable Computational Fluid Dynamics (CFD) simulator designed to optimize wind turbine airfoils. Built with JAX, the platform replaces traditional trial-and-error solvers with a rapid, gradient-based pipeline that parameterizes airfoil shapes from DAT to CST formats. This fully differentiable architecture allows for highly efficient simulation and optimization of aerodynamic designs, significantly accelerating the engineering process and improving the overall efficiency of wind energy systems.
Project Pictures
