# Karishma M.

> ML Research

Location: India, India
Profile: https://flows.cv/karishmam

Masters in Computer Science, Focus on Natural Language Processing, Experience with Deep Learning Methods used for NLP. 
Current Research Project: https://github.com/karishmamalkan/SDPNeuralTuringMachine

## Work Experience
### Software Engineer @ Google DeepMind
Jan 2024 – Jan 2025 | San Francisco Bay Area

### Software Engineer @ Google
Jan 2021 – Jan 2024 | San Francisco Bay Area
Language + multi modal @ Google Research

### Software Engineer @ Google
Jan 2018 – Jan 2020 | Mountain View, California, United States
ML Research (Language) @ Google Brain

### Applied Scientist (Machine Learning) @ Amazon AI @ Amazon Web Services (AWS)
Jan 2016 – Jan 2018 | Palo Alto, California, United States
Working on Human Language Technology. Main projects listed below.

Automatic Speech Recognition(ASR) (Amazon Transcribe)
•	Wrote the baseline multi GPU sequence to sequence RNN architecture for Speech Recognition using MXNet for OpenSpeech
•	Improved existing monotonic attention in a way specifically useful for ASR which achieved a 3% relative word-error-rate improvement over initial implementation
•	Mentored intern project to improve performance of RNN-Transducer for Speech Recognition by modifying the loss to include sampled paths generated by the model during training
•	Experimenting with downsampling on encoder side using CNNs, minimum risk training and other enhancements to the baseline seq-to-seq architecture to improve WER scores
Technologies: MXNet – Deep Learning Framework, AWS 
 

Neural Machine Translation 
•	Improved MT models for Indonesian language from 18 BLEU -> 31 BLEU for AWS customer
•	BLEU score improvement gained by implementing the following techniques: Finetuning on domain specific data, using single language corpus in a parallel setting by backtranslation, ensembling.

### Graduate Teaching Assistant @ Georgia Institute of Technology
Jan 2015 – Jan 2016 | Atlanta, Georgia, United States
CS 4400 - Fundamentals of Database Systems - Spring 2015
CS 7646 - Machine Learning for Trading - Fall 2015, Spring 2016

### Software Engineer @ Amazon
Jan 2015 – Jan 2015 | New York, New York, United States
Internship on Ads Platform Team: Tool for reporting migration of products across categories, sub-categories etc, using PIG on AWS-EMR clusters

### Software Engineer @ Tribune Digital Ventures
Jan 2013 – Jan 2014 | Bengaluru Area, India

### Software Developer In Test @ Flipkart.com
Jan 2012 – Jan 2013 | Bangalore Urban, Karnataka, India


## Education
### Master's degree in Computer Science (Machine Learning)
Georgia Institute of Technology
Jan 2014 – Jan 2016

### India

### Bachelor of Engineering in Computer Science
Ramaiah Institute Of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/karishmamalkan

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Source: https://flows.cv/karishmam
JSON Resume: https://flows.cv/karishmam/resume.json
Last updated: 2026-03-23