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Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Shark

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debug-soham/README.md

About me:

I am a second-year student in Electronics and Computer Engineering at KJ Somaiya School of Engineering, Mumbai, currently interning in applied machine learning roles. I’m proficient in Python, Scikit-learn, and core machine learning techniques - specializing in model development, evaluation, and feature engineering. I have a strong foundation in supervised learning, with growing experience in hyperparameter tuning, cross-validation, and real-world model deployment workflows. I’m also exploring MLOps, continuous training pipelines, and modern deployment stacks.

My goal is to contribute to open-source initiatives and impactful AI/ML projects focused on real-world, data-driven solutions.

🛠️ What I'm building toward

  • MLOps fundamentals (Docker, CI/CD, model versioning)
  • Cloud-native deployment
  • Open-source contribution workflows (issues, PRs, Git strategies)

🚀 Actively looking to contribute to

  • ML/AI research-backed projects
  • Open-source repositories in data science or MLOps
  • Hackathons, collaborations, and innovative proof-of-concepts

🤝 Feel free to reach out!

Socials:

LinkedIn     Email     Discord     Twitter     GitHub

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  1. etsi-ai/etsi-watchdog etsi-ai/etsi-watchdog Public

    Real-time data drift detection and monitoring for machine learning pipelines.

    Python 27 27

  2. Music-Genre-Classification Music-Genre-Classification Public

    This project uses a Convolutional Neural Network (CNN) built with Keras and TensorFlow to classify music into 10 different genres based on their audio features (MFCCs).

    Jupyter Notebook 1

  3. Personal-Finance-Risk-Classifier Personal-Finance-Risk-Classifier Public

    A machine learning model designed to predict financial risk levels and support conservative investment decisions.

    Jupyter Notebook 1