Nikhil Bartwal
AI Lead - Culling at Aftershoot
New Delhi, Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolNikhil Bartwal is an AI leader with 7+ years of hands-on experience building machine learning and computer vision systems, currently heading culling AI at Aftershoot. He progressed through senior and leadership roles at Aftershoot after contributing to open-source TensorFlow Datasets, where he focused on core dataset fixes, checksums and release notes—work that surfaces in one of the most widely used ML dataset libraries. His background spans production ML, from TensorFlow Lite mobile apps and prostate cancer classification models to optimization projects like wind-farm layout and SARIMAX forecasting. A former Bitcoin Core contributor through Summer of Bitcoin, he also has practical experience implementing chain reorg behavior on custom Signet networks. Known for writing “weird” math and compact code that solves messy real-world problems, he combines research-grade rigor with pragmatic product delivery. Based in New Delhi, he blends open-source collaboration with startup leadership to move complex CV models from prototype to production.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Amity University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
machine-learning10
tensorflow10
python10
datasets10
user-data9
data-model9
data-set9
jax9
numpy8
Programming languages (6)
Github contributions (5)
tensorflow/datasets
Sep 2020 - May 2021
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:
Back-end Developer
Back-end DeveloperContributions:138 reviews, 88 commits, 50 PRs in 8 months
Contributions summary:Nikhil's contributions primarily involve modifying core files within the `tensorflow/datasets` repository, focusing on code cleanup and adding release notes to several datasets. These changes include adjustments to core functionalities like checksums, bug fixes, and improvements to the codebase of various datasets like `arc`, `deep_weeds`, and others. The user also added release notes to various datasets and corrected some minor formatting and codebase inconsistencies.
datanumpydeep-learningdatasetmachine-learning
NikhilBartwal/Species.ai_Android
May 2020 - Jun 2021
Species.ai is a DL based application for identifying flowers,birds,animals etc.
Contributions:44 commits, 2 PRs, 34 pushes in 1 year 1 month
flowersmachine-learningbirds
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