Arif Ahmed is an AI engineer based in Bengaluru with a decade of engineering experience and 4+ years focused on production-grade image and video generative models. He’s shipped GenAI features across startups and R&D teams—from lipsync and video generation research at NeuralGarage to leading visual GenAI work for content localization at Cynapto and now building Image/Video GenAI at Flam. A lifelong learner and early open-source contributor, Arif’s GSoC contributions include SymPy and ROOT libraries, demonstrating comfort with both numerical/math code and large-scale ML systems. He’s also experimented with founder-level product strategy as an aspiring CTO, giving him a pragmatic sense of go-to-market tradeoffs in early-stage AI businesses.
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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