Rajat Yadav
Kernel Engineer | CUDA | Back-end
> Recent Master's graduate from School of Computer Science at University of Windsor.
> If you want to see my subpar writing skills, you can check out my medium page [ here ]
> Developer Developer Developer (get it?) [ a3dif3x ]
> You can see me yapp on X
Everything. Architecture decisions I'll forget in a week, debugging rabbit holes that cost me three hours, half-baked ideas that might be genius, and the occasional shower thought that turned out to be a real solution.
Things that gave me dopamine
> Completed Prof. Curtis Bright's Computational Mathematics (Cryptography).
> Survived Prof. Yacoub's EAGLE simulation in Advance Software Engineering.
I update this weekly, so you can see what I am up to
April 21, 2026 began learning CUDA and Kernel Engineering (Future Proofing AI Massacre baby!)
January 6, 2025 ➜ started Computation Mathematics by Prof. Curtis Bright[read here]
December 28th, 2024 ➜ building my own git implementation called [nexus]
December 5th, 2024 ➜ started writing my own interpreter and implementing ML research papers.
Sept 7th, 2024 ➜ became a Master's student in School of CompSci at UWindsor.
Companies that I worked for in order to gain experience.
Software Engineering Intern — AI Memory Systems | Jaguar Land Rover | SEPT 2025 - DEC 2025
Computer Vision Intern - Team Lead | Scelta | MAY 2025 - AUG 2025
Associate Developer Intern | AdaptIQ (Salesforce Partner) | NOV 2022 - AUG 2023
> Developed and maintained Visualforce pages and Lightning components to enhance user experience and improve data visualization.
> Worked on the integration of Salesforce with external systems using REST and SOAP APIs, ensuring data consistency and real-time data synchronization.
ML Engineer Intern | Zebo.ai | JAN 2022 - APR 2023
> Leveraged machine learning methodologies to create a sophisticated review classier, enhancing the company's ability to understand and act upon customer feedback.
> Developed deep-learning models that achieved an accuracy of 92%, enabled the company to process customer reviews in a more efficient manner, enabling them to respond/act upon customer feedback with greater accuracy and speed.
> A simple Todo app using (Flutter + Isar database + Bloc) | by laggedskapari