Summary
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Rockstar🎓
Top SchoolJilt Sebastian is a Machine Learning Engineer with 8 years of experience combining academic rigor (Ph.D. and M.Tech from IIT Madras) and industry impact in multimodal AI, audio processing, and scalable ML systems. He has driven audio feature research and production integration for multimodal LLMs and ultra-fast multilingual ASR at Mobius Labs, and now applies that expertise at Dropbox. His work spans source separation, speaker diarization, emotion recognition, EEG/neural signal analysis and music information retrieval, with peer-reviewed publications in top venues and research stints at Idiap, USC and MIT. A data-centric practitioner focused on fairness and model optimization, he balances state-of-the-art modeling with efficiency and product constraints. Notably, he has transitioned neural signal spike-estimation algorithms from neuroscience labs into practical sequence models, reflecting a rare blend of computational neuroscience and applied speech/audio engineering.
8 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Madras
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at Amal Jyothi college of Engineering
S.S.L.C and H.S.E Basic science Mathematics, S.S.L.C and H.S.E Basic science Mathematics at St.Georges H.S.S Kattappana
English, Malayalam, Tamil, Hindi, German