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

   • Work in Progress
   • Paper Link
   • Preprint Citation: R. More, A. Patil, S. Deshmukh, K. Chawda, and D. Mistry, “A Lightweight Approach Towards Speaker Authentication Systems,” Dec. 2023. [Online]. Available: http://dx.doi.org/10.36227/techrxiv.170327084.43364748/v1

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