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  • Sweden

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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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SuyashMullick/README.md

A machine learning and robotics engineer passionate about perception, autonomy, and deploying intelligent systems end-to-end.

Visitor count

Key:: Visitor's Count
  • 🔭 I'm currently working on applied ML research, along with robotics and ROS2-based perception projects.
  • 🌱 I’m currently learning sensor fusion, advanced robotics frameworks, and research-grade ML methods for autonomy.
  • 🧑‍🤝‍🧑 I'm looking to collaborate on research or projects in ML, computer vision, and robotics, especially involving perception or autonomy.
  • 💬 Ask me about ML, Computer vision, robotics... or anything else here

🛠️ Languages and Tools


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  1. youni20/Neurawave-Hackathon-Submission youni20/Neurawave-Hackathon-Submission Public

    Official submission by Team Minimum Viable Solutions for the Neurawave Hackathon. Achieved First Place

    Python

  2. layer-correlation-symphony layer-correlation-symphony Public

    A research-oriented toolkit for analyzing layer-wise feature correlations in deep neural networks. It provides modular utilities for extracting activations, computing correlation matrices, visualiz…

    Python 2

  3. surface-defect-detection-ind surface-defect-detection-ind Public

    Anomaly detection pipeline for industrial surface inspection using the MVTec AD dataset. Includes classical computer vision baselines, autoencoder models, and PaDiM-based feature embeddings for det…