Anand Mohan

Applied Scientist at Amazon AGI, specializing in Speech AI and Machine Learning

Leading research on Speech-to-Speech Large Language Models and incremental learning strategies at Amazon AGI.

United Kingdom
CurrentSep 2024 - Present

Applied Scientist - AGI

Amazon • Cambridge

Leading research on Speech-to-Speech LLMs and incremental learning strategies for next-generation AI systems.

Jul 2019 - Sep 2024

Applied Scientist - AGI

Amazon • Hyderabad, India

Built production ASR systems, developed federated learning frameworks, and led multilingual speech recognition initiatives.

Education2017 - 2019

Masters in Artificial Intelligence

Indian Institute of Science • Bangalore

Specialized in speech recognition and language modeling, published research on attention-based models.

Jul 2015 - Jun 2016

Software Engineer - Site24x7

Zoho • Chennai, India

Full-stack development for performance monitoring platform, built AngularJS web clients and Java APIs.

Education2011 - 2015

Bachelors in Electronics & Communication

National Institute of Technology • Calicut

Foundation in signal processing and communication systems, elected student representative.

Publications

AMuSE: Attentive Multilingual Speech Encoding for Zero-Prior ASR

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2025

Cross-silo Federated Training in the Cloud with Diversity Scaling and SSL

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2021

Towards Relevance and Sequence Modeling in Language Recognition

IEEE Transactions on Audio, Speech and Language Processing • 2020

Attention based Hybrid I-vector BLSTM Model for Language Recognition

Annual Conference of the International Speech Communication Association (INTERSPEECH) • 2019

End-to-End Language Recognition Using Attention Based Hierarchical GRU Models

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2019

The LEAP Speaker Recognition System for NIST SRE 2018 Challenge

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2019

Technical Skills

Languages

Python, Java, MATLAB, JavaScript

ML/AI

TensorFlow, PyTorch, PySpark, Kaldi-ASR

Focus Areas

Speech Recognition, Language Models, Federated Learning

Key Highlights

6+ publications in top-tier conferences (ICASSP, INTERSPEECH)
Led 75+ technical interviews for ML science roles
Reviewer for ICASSP, SPCOM, Amazon ML Conference
Contributed to COVID-19 detection research (Coswara project)

Let's Connect

Interested in AI research collaboration or discussing speech technologies?