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Built a CNN-LSTM hybrid architecture for Thanglish-to-Tamil transliteration that outperforms BiGRU+Attention while being 16x smaller—proving that 1D convolutions can efficiently capture local n-gram patterns for character-level sequence tasks. Sometimes the simplest architecture wins when it aligns with the problem's inherent structure 🚀
👋 Hello, **I'm Kamalnath**** Let’s connect! 🔗 Portfolio Website 💻 GitHub 📝 LinkedIn I'm a...