Sandip Patil
Senior Data Scientist
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolSandip Patil is a Senior Data Scientist with nine years of hands-on experience building and productionizing ML solutions across banking and retail, now driving data science at NVIDIA from Pune. He combines deep expertise in Python, PySpark, TensorFlow/Keras and big-data stacks (Hadoop, Spark, Hive, Kafka) to deliver use cases like anomaly detection, recommender systems, churn prediction and text/image classifiers. Sandip has a strong track record of moving models into distributed production environments and performance-tuning large-scale pipelines. He is an active open-source contributor to flagship ML libraries—adding translation datasets to Hugging Face Datasets and implementing/refactoring ResNet variants and numerous Transformer sequence-classification models in Keras and Hugging Face. Beyond models and infrastructure, he’s a storyteller who translates complex analytics into visual narratives for business stakeholders. Currently pursuing an MTech in Data Science & Engineering, he blends practical industry impact with ongoing academic growth.
9 years of coding experience
12 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceBachelor Of Engineering, Electronics & communication, First class, Bachelor Of Engineering, Electronics & communication, First class at Bachelor of engineering in Electronics
Github Skills (22)
machine-translation10
python10
artificial-neural-networks10
classification10
testing10
sequence-labeling10
machine-learning10
datasets10
keras10
deeplearning-ai10
deep-learning10
tensorflow10
trainings10
natural-language-processing10
neural-network10
Programming languages (4)
Github contributions (5)
huggingface/transformers
Dec 2020 - Feb 2021
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:12 reviews, 12 commits, 19 PRs in 2 months
Contributions summary:Sandip contributed extensively to the implementation and testing of various sequence classification models within the Hugging Face Transformers library. Their work included adding and refining models such as TF TransfoXL, TF GPT2, TF OpenAI GPT, TF CTRL, TF Albert, TF DistilBERT, TF MobileBERT, and TF MPnet. The contributions involved modifying code, adding new functionalities, and integrating comprehensive integration tests to ensure the models' functionality and accuracy.
pythonbertspeech-recognitionstate-of-the-artflax
keras-team/keras
Feb 2022 - Mar 2022
Deep Learning for humans
Role in this project:ML Engineer
ML EngineerContributions:22 reviews, 17 commits, 1 PR in 1 month
Contributions summary:Sandip contributed significantly to the `keras-team/keras` repository by adding and refactoring the ResNet-RS model. Their work involved the implementation of the ResNet-RS model within the Keras applications module, which included defining the model architecture, incorporating necessary layers, and integrating with existing Keras functionalities. Further contributions included code refactoring based on comments, ensuring the code's quality and maintainability. The user's focus was on expanding the available deep learning models within the Keras framework.
pythondata-sciencedeep-learningneural-networksmachine-learning
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