N

Nagabhushan Baddi

CTO

Bengaluru, Karnataka, India9 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led LLM Optimization team at Google.
  • Designed ensemble models for Bixby ASR.
  • Achieved state-of-the-art results in ML projects.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and Automatic Speech Recognition.

Contact

Skills

Core Skills

Machine LearningNatural Language ProcessingAutomatic Speech RecognitionDeep Learning

Other Skills

PythonScikit-LearnXGBoostAlgorithmsData StructuresJavaC++JavaScriptNodeJSPandasLightGBM

Experience

9 yrs 8 mos
Total Experience
1 yr 11 mos
Average Tenure
4 yrs 5 mos
Current Experience

Google

2 roles

Engineering Lead

Promoted

Oct 2025Present · 6 mos

  • Leading the LLM Optimization team at Google AI Overviews & AI Mode
Machine LearningDeep LearningNatural Language ProcessingPython

Software Engineer

Oct 2021Sep 2025 · 3 yrs 11 mos

Atlassian

Software Engineer

Aug 2021Dec 2021 · 4 mos

  • Part of the Atlassian Marketplace team

Stealth startup

Co-Founder

Aug 2020Jul 2021 · 11 mos · Bengaluru, Karnataka, India

  • Cofounded a startup to help local business market their products and offers to shoppers around them in an engaging social platform.

Samsung electronics

Software Engineer

Jun 2017Aug 2020 · 3 yrs 2 mos

  • Manage data pipeline, language modelling and hyperparameter optimization for Automatic Speech Recognition (ASR) powering the smart assistant Bixby for Galaxy Home speaker.
  • Successfully designed and implemented an ensemble model consisting of RNNs and Gradient Boosting Machines for multi accent classification.
  • Implemented a recurrent neural network based domain classifier which is being used in the multi language model architecture for Bixby.
  • Redesigned the language model interpolation pipeline to decrease the build time from two days to less than 12 hours.
  • Research on Recurrent Neural Network based Language Modelling and conceptualising the acoustic model, language model and decoder of ASR for upcoming products.
Automatic Speech RecognitionMachine LearningDeep LearningPython

Instep global internship program, infosys

Software Engineer

May 2016May 2017 · 1 yr · Bengaluru, Karnataka, India

  • Worked on machine learning projects including ML based Botnet Detection and Privacy Preserving Deep Learning.
  • Implemented models in python using libraries like Sklearn, Keras, XGBoost, etc and achieved results comparable to state of the art published models.
Machine LearningDeep LearningPythonScikit-LearnXGBoost

Education

Indian Institute of Technology, Roorkee

Bachelor’s Degree — Electrical Engineering

Kendriya Vidyalaya

Class 1st to 10th — CBSE

Nalanda Pre University College

Class 11th and 12th — Science

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