Deepak Baby

Senior Data Scientist at KBC Bank & Verzekering
Deepak Baby

Dr. Deepak Baby is a Senior Data Scientist at KBC Bank Belgium, specializing in developing advanced data-driven solutions for banking and insurance applications. His expertise spans machine learning, speech processing, and neural network architectures. Previously, he served as an Applied Scientist at Amazon Alexa AGI, where he led research and development initiatives for speech recognition models that power Alexa services. During his tenure, he contributed to continuous learning technologies that enable Alexa models to adapt and improve over time, and participated in early-stage development of Nova Sonic LLM.

His academic background includes post-doctoral research positions at leading institutions. At Idiap Research Institute with Prof. Hervé Bourlard (May 2019 - June 2020), he advanced speech enhancement techniques using variational and adversarial auto-encoders. As a post-doctoral researcher at Ghent University with Prof. Sarah Verhulst (February 2017 - April 2019), he developed neural network-based machine learning strategies for hearing restoration, resulting in publications in Nature Machine Intelligence and Nature Communications, as well as a patent that secured $1M in ERC funding for a startup venture.

Dr. Baby holds a PhD in Electrical Engineering from KU Leuven (2016), where his dissertation focused on Non-negative Sparse Representations for Speech Enhancement and Recognition under the supervision of Prof. Hugo Van hamme. He earned his Master of Technology in Communication Engineering from IIT Bombay (2012) and his Bachelor of Technology in Electronics and Communication Engineering from College of Engineering Trivandrum (2009).

Scroll to explore

Career Journey

KBC Bank & Verzekering

Leuven, Belgium
Senior Data Scientist November 2025 — Present
Data Scientist January 2025 — November 2025
  • Design and develop machine learning solutions to automate services related to banking and insurance.
Applied Scientist II October 2020 — November 2024
  • Science lead for continuous learning technology that keeps Alexa models up-to-date.
  • Contributed to speech recognition models powering Alexa services.
  • Contributed to early stages of Nova Sonic LLM.

Idiap Research Institute

Martigny, Switzerland.
Post-doctoral Researcher May 2019 — June 2020
  • Post-doctoral research fellow in the SNSF project ’SHISSM’ with Prof. Hervè Bourlard.
  • Collaborated with several PhD students providing support and guidance on their research.
  • Developed speech enhancement (denoising and dereverberation) approaches using variational and adversarial auto-encoders.

Ghent University

Ghent, Belgium.
Post-doctoral Researcher February 2017 — April 2019
  • Post-doctoral research fellow in the ERC project ’RobSpear’ with Prof. Sarah Verhulst.
  • Developed neural network-based machine learning techniques for modelling and correcting hearing impairment.
  • Seminal work on using neural networks for approximating computational auditory models and hearing aids.
  • Patent on neural network-based computational auditory models and publications in Nature:Machine Intelligence and Nature Communications.
  • The patent was eventually granted \$1M ERC funding for startup.

Nuance Communications

Ghent, Belgium.
Visiting Researcher April 2015 — June 2015
  • Investigated the previously proposed exemplar-based speech enhancement approaches as front-end for ASR models at Nuance on automotive data.
Visiting Researcher June 2013 — August 2013
  • Internship with Prof. Tuomas Virtanen, Audio Research Group, Dept. of Signal Processing.
  • Investigated the use of Modulation Envelope features for feature enhancement to improve the noise robustness of Automatic Speech Recognition systems