Hi, I'm Mohammad Saad. I'm a full-stack developer based in Adelaide, Australia, with a passion for building scalable web and mobile applications using React, Node.js, Kotlin, and Svelte. I also work with robotics, Python, ROS 2, and OpenCV, backed by a solid grounding in systems engineering and machine learning with PyTorch and Scikit-Learn. In my work, I enjoy turning complex problems into maintainable solutions and shipping reliable software. On teams, I value collaboration and clear communication, and I'm excited to bring cross-disciplinary thinking to product development, from frontend and backend APIs to ML deployment and robotics integration.

Mohammad Saad

Hi, I'm Mohammad Saad. I'm a full-stack developer based in Adelaide, Australia, with a passion for building scalable web and mobile applications using React, Node.js, Kotlin, and Svelte. I also work with robotics, Python, ROS 2, and OpenCV, backed by a solid grounding in systems engineering and machine learning with PyTorch and Scikit-Learn. In my work, I enjoy turning complex problems into maintainable solutions and shipping reliable software. On teams, I value collaboration and clear communication, and I'm excited to bring cross-disciplinary thinking to product development, from frontend and backend APIs to ML deployment and robotics integration.

Available to hire

Hi, I’m Mohammad Saad. I’m a full-stack developer based in Adelaide, Australia, with a passion for building scalable web and mobile applications using React, Node.js, Kotlin, and Svelte. I also work with robotics, Python, ROS 2, and OpenCV, backed by a solid grounding in systems engineering and machine learning with PyTorch and Scikit-Learn. In my work, I enjoy turning complex problems into maintainable solutions and shipping reliable software.

On teams, I value collaboration and clear communication, and I’m excited to bring cross-disciplinary thinking to product development, from frontend and backend APIs to ML deployment and robotics integration.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Fullstack Developer at Tutbob, Ed-Tech Startup
July 1, 2024 - Present
Implemented Flashcard feature for the chrome extension using Svelte and Rust, increasing user engagement by 13%. Collaborated with design team to create reusable components, reducing future development time. Developed backend Stripe payment feature integrated with Rust codebase and tested with sample users. Optimized API usage by implementing popup feature to check user participation, reducing OpenAI API call costs by 15-20%.
Machine Learning & Business Development Intern at Optomni, Sustainable AgTech Startup
July 31, 2023 - July 11, 2025
Developed financial models and demand forecasting for local fresh produce circuits. Created ML supply chain optimizations leading to 21% food waste reduction and 15% efficiency boost. Assisted in client proposal development, improving client acquisition rate by 30%.
Entrepreneur in Residence at Peak Ventures XV (Formerly Sequoia India)
March 1, 2024 - September 17, 2025
Advised early-stage startups on scalable growth strategies; partnered with cross-functional tech teams across sectors including manufacturing, retail, clothing, and fintech to optimize product and market alignment; conducted market research and competitor analysis to inform startup business models and pivots; delivered tailored strategic guidance to Auktmetics Healthcare on brand expansion; supported go-to-market planning, operational scaling, and brand development for multiple seed-stage ventures.
Control Systems Developer Intern at FLUX Robotics (Agtech Startup)
February 1, 2023 - September 17, 2025
Developed and deployed ROS nodes to integrate ZED stereo vision camera with an autonomous farm rover for enhanced navigation. Designed and implemented sensor fusion algorithms for real-time perception and environment mapping using stereo vision data. Conducted extensive validation and debugging of control scripts through simulations within the ROS Gazebo environment, ensuring system stability and accuracy. Optimized motion planning and obstacle avoidance strategies to improve autonomous path tracking and navigation efficiency in dynamic farm terrains. Collaborated in cross-functional team environments to iterate on control system architecture, contributing to increased operational reliability and reduced localization errors.

Education

Bachelor of Mathematical and Computer Sciences at University of Adelaide
July 1, 2019 - July 31, 2023
Bachelor of Mathematical and Computer Sciences at University of Adelaide
July 1, 2023 - September 17, 2025

Qualifications

Global Citizens Scholarship
January 1, 2019 - December 31, 2022
Global Citizens Scholarship (30% tuition reduction for 3 years)
January 11, 2030 - September 17, 2025

Industry Experience

Software & Internet, Education, Healthcare, Agriculture & Mining, Retail, Manufacturing, Financial Services, Professional Services