Mehrdad Aksari MahabadiI graduated from Amirkabir University of Technology with a degree in computer science. I tend to follow my curiosity wherever it leads.
I've bounced between deep learning, algorithms, database systems, and plenty of other rabbit holes.
I enjoy reinventing the wheel and implementing systems from scratch to fully understand them.
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Jan 2023 Present
I worked as a software engineer at Snapp.
Snapp is the leading company in providing online taxi services with over 30 million users in Iran.
As part of the Routing team, we were responsible for providing estimated time of arrival (ETA) and
navigation services.
Our work spanned from calculating and predicting speeds from raw GPS probes to serving deep learning models on production. We built a highly-adaptive, and traffic-aware ETA pipeline that is competitive with all third party providers both in terms of accuracy and speed.
Our work spanned from calculating and predicting speeds from raw GPS probes to serving deep learning models on production. We built a highly-adaptive, and traffic-aware ETA pipeline that is competitive with all third party providers both in terms of accuracy and speed.
Jan 2024 Dec 2024
I worked on robustness of deep learning models at the Machine Learning Laboratory, Sharif University of Technology under the supervision of Dr. Mahdieh Soleymani.
Sep 2020 Jan 2025
BSc at the Amirkabir University of Technology (Tehran Polytechnic) majoring in computer science.
I ranked in the top three students on multiple occasions due to cumulative GPA. I graded 18.79 / 20.
teaching
I was fortunate to be a teaching assistant for the following courses :
- Deep Learning (graduate course), Spring 2025, Sharif University of Technology
- Computational Geometry, Fall 2024, Amirkabir University of Technology
- Numerical Linear Algebra, Fall 2024, Amirkabir University of Technology
pet projects
bustub
is an educational relational database management system built at CMU. I implemented all the assignments of the project
including thread-safe implementation of buffer pool manager, B+tree index, and query execution layer. The code is not publicly available due to course policies.
camel
is an interpreted programming language written in go. It supports arrays, dictionaries, functions, and closures.
xv6
is a fork of MIT's xv6 operating system that implements copy-on-write and lazy page allocation.
evolucopter
is an evolutionary agent that masters a simplistic helicopter game using genetic algorithms and neural network.
jnotes
is my playground that contains deep neural network architecures, such as VAE, GAN, DDPM, RNN, LSTM and GPT, all implemented from scratch in pytorch.
jclash
is a clone of the game Clash Royale in Java. This was the final project of Advanced Programming course at Amirkabir University of Technology
and my first real experience with programming.
coyote
is a project that visualizes and compares Dijkstra, A*, and ATL algorithms to compute the shortest path on a road network.
I implemented this for fun when I began working at Snapp. The end goal was to understand shortest path algorithms in more depth.
visual cryptography
is a perfectly secure cryptographic scheme, which can decode concealed images without any cryptographic computations.
I implemented this technique as an exercise in go programming language.
misc unsorted
- I have a brother. We are non-identical twins
- In my free time, I go running, hiking, or climbing.
- This website design was inspired by Andrej Karpathy.