My name is Rishi. I am an engineering graduate pursuing my Masters in Computer Science at Johns Hopkins University.
- 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.
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Privacy-Preserving Video Analytics Through GAN-Based Face De-Identification
- Accepted for publication at 2nd International Conference on Network, Multimedia and Information Technology (NMITCON)
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Preserving Privacy in Video Analytics: A Comprehensive Review of Face De-Identification and Background Blurring Techniques
- Submitted in 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
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Toxic Comment Detection Using Bidirectional Sequence Classifiers
- Presented at 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things and published in IEEE Xplore.
- 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
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A Streamlined Approach towards Monkeypox Detection
- Submitted in 2024 9th International Conference on Convergence of Technology (I2CT) co-sponsored by IEEE
- 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
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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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Harnessing Insights from Streams: Unlocking Real-Time Data Flow with Docker and Cassandra in the Apache Ecosystem
- Submitted in 2024 9th International Conference on Convergence of Technology (I2CT) co-sponsored by IEEE
- Paper Link
- Preprint 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,” Jan. 2024. [Online]. Available: http://dx.doi.org/10.36227/techrxiv.170475337.78884732/v1
