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I'm currently a Staff Software Engineer at Quansight
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My current interests in Scientific Computing include (see here for technical blogs):
- Functional algorithms to complex and real valued functions, with accuracy validation and code generation
- Validation of mathematical functions with complex inputs in various libraries such as NumPy, PyTorch, XLA/JAX, Tensorflow, MPMath, etc
- Theory of Sparse Arrays, in particular, PyTorch sparse tensors support
- Optimization of Triton kernel parameters
- Interoperability of Array-like objects from various software
- Algorithms and Implementations
- Support Fortran 90 TYPE construct in F2Py
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I have initiated and co-authored a number of open source projects with the following highlights:
- functional_algorithms - Functional algorithms with code generation to Python, NumPy, C++, XLA/Client, StableHLO targets.
- RBC - Remote Backend Compiler
- F2Py - Fortran to Python interface generator DOI, ships with NumPy DOI
- SciPy - open-source software for mathematics, science, and engineering DOI
and contributed to a number of open source projects such as StableHLO XLA, JAX, Heavy.AI, PyTorch, Numba, Apache Arrow, conda-forge, XND, SymPy, etc.
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My background is in Scientific Research: Mathematical Physics, Nonlinear Waves, Mechanics, Systems Biology, Microscopy, Solid Mechanics, Optics, Scientific Computations, etc. CV@ERIS, ORCID, Scholar
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Fun facts:
- I have completed AoC 2019, AoC 2020, and participated in subsequent AoC events.
- Estonian Champion 2006 in Dog Obedience (German Shepherd), currently training for Agility (Boston Terrier)
- Ship engineer by profession, raced with power boats (Circuit S-250, S-350, OSY-400, O-125, F-500), teached sailing to kids
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😄 Pronouns: standard Modern English
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