
I am a Machine Learning Researcher at Adalat AI with 5+ years of experience in deep learning. My work spans speech recognition, speaker diarization, and multilingual and code-switched ASR, with papers at major venues like AAAI, ICASSP, ICML, Interspeech and SPECOM. I build privacy-compliant production speech systems for low-resource Indic languages, designed to be deployed in noisy courtrooms. I usually train models on the weekdays and think about training models in the weekends while building terrariums, taking care of my plants and indulging in Kerala cuisine.
Indiranagar, Bangalore, India
Selected Publications
- Slots Are Not Speakers: Training-Free Speaker Linking for Frozen Streaming DiarizersUnder review, 2026
- Listen Like a Teacher: Mitigating Whisper Hallucinations using Adaptive Layer Attention and Knowledge DistillationAAAI Conference on Artificial Intelligence (Main Technical Track), 2026
- Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech RecognitionInterspeech, 2026
News
- Oct 2026 Preprint: Slots Are Not Speakers, a training-free speaker linker for streaming diarizers.
- Sep 2026 Released Koyal, open multilingual Indic ASR models.
- Jun 2026 Vividh-ASR accepted at Interspeech 2026.
Recent Posts
- MNIST from NumPy11 December 2024