Arif Ahmed is an AI engineer with a decade of experience spanning production-grade deep learning for image and video generation, and a track record of applying research to real-world systems. Currently at Flam as an AI Engineer, he has previously explored technical leadership as an aspiring CTO and held roles as a deep learning scientist and ML engineer across startups and research labs. A two-time Google Summer of Code alum, he contributed to SymPy, implementing efficient polynomial integration and geometric summation functionality, and improving code quality in the concrete/summations modules. Based in Bengaluru, India, he combines solid software development with hands-on DL research in CV, VLMs, T2V/I2V/V2V, and has shipped production-ready components for image/video pipelines. An active open-source contributor, he has a proven ability to translate complex mathematical ideas into robust code and scalable solutions.
10 years of coding experience
6 years of employment as a software developer
MSc(Hons.)Mathematics and B.E(Hons.)Computer Science, Computer Science, MSc(Hons.)Mathematics and B.E(Hons.)Computer Science, Computer Science at Birla Institute of Technology and Science, Pilani - Goa Campus
Contributions:86 commits, 53 PRs, 225 comments in 1 year 10 months
Contributions summary:Arif contributed to the SymPy library by implementing and improving functionality for mathematical summation calculations, specifically geometric sums with floating-point bases. Their work involved modifying existing code within the `sympy/concrete` module, including test updates in `test_sums_products.py` and the `summations.py` file. They also addressed code cleanliness through whitespace removal and deleted lines from a previous unmerged fix, indicating a focus on code quality and bug fixing.
Contributions:42 commits, 38 pushes, 1 comment in 9 months
pythonpython3python-scriptdata-science
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