K V Vijay Girish profile photo 1 on Tal

K V Vijay Girish

Senior Applied Scientist @ Microsoft | Ex-Amazon | Ex-Observe.AI | Speech and Audio Researcher | PhD IISc Bangalore | Triathlete

Bengaluru

9+ years of work experience

Microsoft
Oct 20262 mosPresent

Bengaluru, Karnataka, India

Amazon
Jul 20224 yrs 4 mosOct 2026

Bengaluru, Karnataka, India

AGI: Speech Team
Observe.AI
Oct 20201 yr 10 mosJul 2022

Bangalore Urban, Karnataka, India

Built End-to-End Behavioural Prediction Systems for Call Center Conversational Speech
Belong.co
Jun 20191 yr 5 mosOct 2020

Greater Bengaluru Area

Information extraction from Resumes and Emails, technical roadmap planning, candidate journey modelling
Belong.co
Feb 20181 yr 4 mosMay 2019

Bangalore

Using Data Science to help people belong in their workplaces ! #Text modelling and classification #Image processing #Text localisation
Huawei Technologies India
Apr 201711 mosFeb 2018

Bengaluru, Karnataka, India

Created proposals for distributed audio classification, voice chatbots, speaker classification on cloud and Edge platforms. Took Machine Learning tutorials for the Spark ML team includes explaining the concepts and applications of Machine Learning Developed face recognition and detection systems using various feature extraction and classification methods, after doing survey of well known research papers

K’s AI Stack

claude
claude
github copilot
github copilot
kiro
kiro

Education

Indian Institute of Science (IISc)

Doctor of Philosophy (PhD), M.Sc (Engg), Systems and Signal Processing, Machine Learning, Audio and Speech processing, Machine Listening

Indian Institute of Science (IISc)

20107 yrs2017
National Institute of Technology Karnataka

B.Tech, Electrical and Electronics Engineering

National Institute of Technology Karnataka

20044 yrs2008

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Headline

Senior Applied Scientist @ Microsoft | Ex-Amazon | Ex-Observe.AI | Speech and Audio Researcher | PhD IISc Bangalore | Triathlete

About

I am interested in designing innovative mathematical and machine learning models to analyze, process and extract information from signals and data captured from various domains. I enjoy mathematical modelling and out of the box thinking to solve practical problems. I am mostly interested in applications of machine learning and signal processing to audio and speech data. During my PhD, I have devised algorithms which combine sparse representation, signal processing and machine learning methods for supervised/unsupervised classification, separation and segmentation of speech/noise components in a mixed audio signal. I have extensively worked on noise and speech analysis for various machine listening applications. Broad areas of interest : Pattern Recognition and Machine Learning, Deep Learning, Artificial Intelligence, Sparse Signal Processing, Audio Source Classification and Separation, Machine Listening, Speech Analysis, Image and Video Processing, Data Analytics and Optimization, Text Mining and Analysis Reviewer of ISCA and IEEE conferences On personal front, I am a fitness and health enthusiast. I have done an Olympic and Half Ironman Triathlon in 2017, and strive to do an full Ironman in future. I love traveling and exploring places.

Location

Bengaluru

AI stack

claude

github copilot

kiro

Work experience

Senior Applied Scientist at Microsoft, Oct 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Applied Scientist II at Amazon, Jul 2022 - Oct 2026 · 4 yrs 4 mos, Bengaluru, Karnataka, India, AGI: Speech Team

Senior Machine Learning Scientist at Observe.AI, Oct 2020 - Jul 2022 · 1 yr 10 mos, Bangalore Urban, Karnataka, India, Built End-to-End Behavioural Prediction Systems for Call Center Conversational Speech

Data Scientist Tech Lead at Belong.co, Jun 2019 - Oct 2020 · 1 yr 5 mos, Greater Bengaluru Area, Information extraction from Resumes and Emails, technical roadmap planning, candidate journey modelling

Data Scientist at Belong.co, Feb 2018 - May 2019 · 1 yr 4 mos, Bangalore, Using Data Science to help people belong in their workplaces ! #Text modelling and classification #Image processing #Text localisation

Senior Technical Leader at Huawei Technologies India, Apr 2017 - Feb 2018 · 11 mos, Bengaluru, Karnataka, India, Created proposals for distributed audio classification, voice chatbots, speaker classification on cloud and Edge platforms. Took Machine Learning tutorials for the Spark ML team includes explaining the concepts and applications of Machine Learning Developed face recognition and detection systems using various feature extraction and classification methods, after doing survey of well known research papers

Education

Doctor of Philosophy (PhD), M.Sc (Engg), Systems and Signal Processing, Machine Learning, Audio and Speech processing, Machine Listening, Indian Institute of Science (IISc)

B.Tech, Electrical and Electronics Engineering, National Institute of Technology Karnataka