indrajeetapache (Indrajit swain) · GitHub
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indrajeetapache/README.md

Hi, I'm Indrajit Swain

Senior Data Scientist at Citi | PhD Scholar in Data Science | Kaggle Expert | Open Source Contributor

I contribute to machine learning and AI open-source projects, with a focus on deep learning frameworks, LLM tooling, and developer experience. I also work on scalable ML systems, data pipelines, and Big Data technologies in production environments.

📍 Bangalore · @indrajeetswain


Open Source

I contribute to:

Currently exploring contributions in the ML/AI ecosystem.

I enjoy contributing bug fixes, stability improvements, and documentation that help real users of these tools.


What I Contribute To

Machine Learning & AI

  • Deep learning frameworks (PyTorch, Keras, Hugging Face ecosystem)
  • LLM training, inference, and tooling
  • Model reliability, performance, and explainability

Engineering & Big Data

  • Scalable data processing with Apache Spark, Hadoop, Hive, and Snowflake
  • Production ML pipelines and automation

Tech Stack

Python · Scala · SQL · PyTorch · TensorFlow · Keras · XGBoost · Hugging Face · Apache Spark · Airflow · Snowflake


Kaggle

🏆 Kaggle Expert — I use Kaggle to stay sharp on modeling and competition-style problem solving.


Connect


When I'm not contributing to open source, I'm exploring GenAI research for my PhD, writing technical blogs, and mentoring aspiring data scientists.

Pinned Loading

  1. Kagglesurvey Kagglesurvey
    1
    import  pandas as pd
    2
    import matplotlib.pyplot as plt
    3
    import seaborn as sns
    4
    import numpy as np
    5
    import scipy.stats as sst