Asish Panda
Founder at Polycode
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAsish Panda is a founder and seasoned software engineer with 12 years of experience building backend systems, ML tooling, and test automation from Bengaluru. He has practical startup and payments experience from roles at Razorpay and Shubh Loans and currently leads product and engineering efforts at Polycode. An active open-source contributor, Asish added online-learning support to scikit-learn’s OneVsRest/OneVsOne classifiers and has improved core time and unit handling in astropy, showing both machine-learning and scientific-computing chops. His background includes EEG/MEG signal-processing work in MNE and rigorous testing contributions to SunPy, reflecting a blend of data science, quality engineering, and domain-specific tooling. A former Google Summer of Code contributor, he has a track record of refactoring libraries to align with scikit-learn APIs and shipping reliable tests and documentation. Outside code he pursues interests in economics, philosophy, books and games, which inform a pragmatic, cross-disciplinary approach to building software.
12 years of coding experience
3 years of employment as a software developer
KV 1Bachelor's degree, Electrical and Electronics Engineering, 6.5, Bachelor's degree, Electrical and Electronics Engineering, 6.5 at IIIT BhubaneswarArmy Public School RK Puram
English, Hindi
Stackoverflow
1reputation
1kreached
0answers
2questions
Github Skills (33)
data-visualizations10
pytest10
python10
astronomy10
data-science10
testing10
scikit10
machine-learning10
time-series10
data-visualisation10
solar10
astropy10
unit-conversion10
scikit-learn10
data-visualization10
Programming languages (2)
Github contributions (5)
mne-tools/mne-python
Feb 2016 - Oct 2016
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Data Scientist
Data ScientistContributions:79 commits, 16 PRs, 222 comments in 8 months
Contributions summary:Asish contributed to the codebase by adding default parameters in the Epochs class and implementing the functionality to pass strings as the scorer parameter, including the addition of the SCORERS dict to store various metrics functions. The user's changes included adding new plotting functions (plot_image) for visualizing event-related potentials/fields, correcting tests, and refactoring the XdawnTransformer module. These contributions suggest an active involvement in enhancing the machine learning and data analysis capabilities within the MNE-Python library.
pythonneuroscienceelectroencephalographymagnetoencephalographyelectrocorticography
sunpy/sunpy
Feb 2014 - Jul 2014
SunPy - Python for Solar Physics
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:74 commits in 5 months
Contributions summary:Asish primarily contributed to the testing of the `sunpy/sunpy` repository. Their commits focus on adding and modifying unit tests for the `sun` library, verifying the correctness of functions related to solar physics calculations. The user's work involved creating tests for functions related to calculating solar position and characteristics, ensuring the reliability of the library's core functionalities.
pythonsunpyastronomysolarastropy
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