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rishi-more-2003/README.md

Hi there 👋

My name is Rishi. I am an engineering graduate pursuing my Masters in Computer Science at Johns Hopkins University.

💫 About Me:

  • Results-driven Machine Learning Engineer with 3+ years of experience in developing, optimizing, and deploying deep learning models across computer vision, NLP, and predictive analytics domains. Passionate about building innovative solutions that push the boundaries of AI.
  • Core strengths in TensorFlow, Python, OpenCV, Keras, and SkLearn.
  • Built an award-winning voice authentication system optimized for performance and efficiency, achieving >96% accuracy on Indian speakers.
  • Developed a nutrition analyzer and recipe recommendation app with a >95% accurate nutrition fact analyzer and recipe recommender.
  • Seeking to leverage my expertise in deep learning and data science to take on challenging roles in ML engineering.
  • Current research interests focus on optimizing knowledge distillation techniques in a retrieval-augmented generation to enhance the performance of large language models (LLMs) in one-shot and few-shot learning scenarios.

🔍 Research Work:

  1. Privacy-Preserving Video Analytics Through GAN-Based Face De-Identification

    • Published at 2nd International Conference on Network, Multimedia and Information Technology (NMITCON)
    • Paper Link
    • Paper Citation: R. More, A. Maity, G. Kambli and S. Ambadekar, "Privacy-Preserving Video Analytics Through GAN-Based Face De-Identification," 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2024, pp. 1-6, doi: 10.1109/NMITCON62075.2024.10698920

  2. Toxic Comment Detection Using Bidirectional Sequence Classifiers

    • Presented at 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things
    • Paper Link
    • Paper Citation: A. Maity, R. More, P. A. Patil, J. Oza and G. Kambli, "Toxic Comment Detection Using Bidirectional Sequence Classifiers," 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2024, pp. 709-716, doi: 10.1109/IDCIoT59759.2024.10467922

  3. Harnessing Insights from Streams: Unlocking Real-Time Data Flow with Docker and Cassandra in the Apache Ecosystem

    • Published at 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS)
    • Paper Link
    • Paper Citation: J. Oza, A. Patil, C. Maniyath, R. More, G. Kambli and A. Maity, "Harnessing Insights from Streams: Unlocking Real-Time Data Flow with Docker and Cassandra in the Apache Ecosystem," 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Kothamangalam, Kerala, India, 2024, pp. 1-6, doi: 10.1109/RAICS61201.2024.10690115

  4. PRISM: Predictive Resource Inference and Spot Instance Management

    • Published at 2024 3rd International Conference for Advancement in Technology (ICONAT)
    • Paper Link
    • Paper Citation: J. Oza, R. More, A. Maity, G. Kambli, C. Maniyath and A. Patil, "PRISM: Predictive Resource Inference and Spot Instance Management," 2024 3rd International Conference for Advancement in Technology (ICONAT), GOA, India, 2024, pp. 1-6, doi: 10.1109/ICONAT61936.2024.10774810

  5. A Streamlined Approach towards Monkeypox Detection

    • Submitted to 2024 9th International Conference on Convergence of Technology (I2CT)
    • Paper Link
    • Preprint Citation: Kulkarni, Sarvesh; Oza, Jay; Patil, Abhijit; More, Rishi; Kambli, Gitesh; Maity, Amit (2023). A Streamlined Approach towards Monkeypox Detection. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.24634083.v1

  6. Preserving Privacy in Video Analytics: A Comprehensive Review of Face De-Identification and Background Blurring Techniques

    • Submitted to IEEE Transactions on Information Forensics and Security
    • Paper Link
    • Preprint Citation: Maity, Amit; More, Rishi; Kambli, Gitesh; Ambadekar, Sarita (2023). Preserving Privacy in Video Analytics: A Comprehensive Review of Face De-Identification and Background Blurring Techniques. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.24587100.v1

  7. A Lightweight Approach Towards Speaker Authentication Systems

🌐 Socials:

LinkedIn Kaggle Coursera ResearchGate

💻 Techologies:

Python NumPy Pandas scikit-learn TensorFlow

Keras PyTorch SciPy Plotly MySQL

SQLite Java Neo4J MongoDB Postgres

Django OpenCV Selenium

📊 GitHub Stats:


Pinned Loading

  1. Voice-Authentication Voice-Authentication Public

    Voice Authentication Application

    Jupyter Notebook 1

  2. nutrition_analyser nutrition_analyser Public

    Forked from GiteshKambli/nutrition_analyser

    Jupyter Notebook

  3. NumberPlateDetection-Censoring NumberPlateDetection-Censoring Public

    CNN model trained by transferring learning from YOLOv5 which recognizes and censors numberplates in images in order to protect the identity of original owner of a car.

    Jupyter Notebook

  4. BlockGame BlockGame Public

    Built a comprehensive miniproject for Second Year which will implement most of the concepts in Graphic Animation.

    ASP.NET

  5. BreastCancerDetection BreastCancerDetection Public

    An approach towards breast cancer detection deployed on Streamlit

    Python

  6. BrickBreaker BrickBreaker Public

    A simple brick-breaker game made using the Java language.

    Java