Curriculum Vitae

Education

• Doctorate and Master’s degree from Department of Computer Science and Engineering, Indian Institute of Technology Madras, 2021
• Bachelor’s degree from Department of Computer Science and Engineering, Thiagarajar College of Engineering, 2015

Work experience

• [May 2022 - Present] Applied Scientist II @Amazon - AGI
  • Owned the Responsible AI (RAI) component for the edge LLM-based ASR model: designed an RAI solution tailored for edge deployments, collaborated with cloud, business, and legal teams to secure policy alignment, and coordinated task assignments working backwards from deadlines to ensure timely delivery.
  • Led architectural initiative for voice privacy in AI systems by designing and implementing a novel LLM-based speech rendering framework with PII anonymization capabilities. Independently evaluated vector quantization approaches (VAE/VQ-VAE), established technical evaluation framework across multiple quality dimensions, and documented architectural patterns that became reference designs for subsequent privacy-preserving speech projects.
  • Independently developed and tested production-ready edge ASR models for domain-specific applications, achieving performance comparable to cloud-based or larger models.
• [July 2021 - May 2022] Machine Learning Engineer @MTX Group
  • Developed Vision AI skills for MavQ AI Platform
  • Enabled incremental learning in YOLO-V3 and YOLO-V4 object detection by using specialized loss functions, allowing the model to support additional classes without complete retraining
  • Developed Yolo Models for Table and line-items detection in documents using novel augmentations(MavQ AI Platform)
• [Jan 2016 - July 2021] Half-Time Teaching Assistant @Indian Institute of Technology Madras
  • Alongside doctoral research, assisted professors at IIT Madras in offering various Graduate and Undergraduate level courses.
  • Click to see the full list of courses assisted!

     Speech Communication (CS6300) [Jan 2020, Jan 2021] 
     Pattern Recognition and Machine Learning (CS5691) [July 2018, July 2019] 
     Pattern Recognition (CS6690) [July 2017] 
     Programming and Data Structures (CS2700) [July 2020] 
     Discrete Mathematics (CS1200) [Jan 2018] 
     Introduction to Programming (CS1100) [Jan 2016, July 2016, Jan 2019] 
     Software Engineering Lab (CS6690) [Jan 2017] 

• [May 2015 - Jan 2016] Member of Technical Staff @Zoho Corporation
  • Server-side (or backend) developer for a cloud accounting software Zoho Books.
  • Implemented and tested various features on a REST framework developed using Java and MySQL as the core backend technologies.
• [Nov 2014 - May 2015] Project Trainee @Zoho Corporation
  • Similar contributions as mentioned above

Skills

• Programming Languages: Python, Java, C++
• Machine Learning Frameworks: PyTorch, TensorFlow, Scikit-learn
• Speech & NLP: ASR systems, NLP, Multilingual models, Code-switching models
• Signal Processing: Time series analysis, Feature extraction, Digital signal processing
• Cloud & DevOps: AWS services, CI/CD pipelines, Docker

Awards and Certifications

• Academic Achievements
  • IIT Madras, Institute Research Award 2021. Recognized as one among the top researchers of IIT Madras
  • Overall Best Outgoing Student 2011-2015, Thiagarajar College of Engineering, March 2015.
  • Secured 148th national rank in Graduate Aptitude Test in Engineering (GATE) 2016. Secured national rank of 512 and 192 in GATE 2015 and 2017, respectively.
• Certifications
  • Red Hat Certified Engineer, License 140-123-449, July 2014.
  • Red Hat Certified System Administrator, License 140-123-449, July 2014.
  • Oracle Certified Professional, Java SE 6 Programmer, December 2013.
  • Business Vantage (BEC Vantage) – CEFR Level B2, April 2012.
• Others
  • Visited “Massachusetts Institute of Technology” as a visiting researcher for a period of six weeks in May 2017 and five weeks in May 2019.
  • Regional finalist of ACM-ICPC-2013, an international level programming contest.

Research Publications

Dual Script E2E Framework for Multilingual and Code-Switching ASR

Mari Ganesh Kumar, Jom Kuriakose, Anand Thyagachandran, Arun Kumar A, Ashish Seth, Lodagala V.S.V. Prasad, Saish Jaiswal, Anusha Prakash, Hema A. Murthy, "Dual Script E2E Framework for Multilingual and Code-Switching ASR." In the proceedings of Proc. Interspeech, 2021.

Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas

Mari Ganesh Kumar, Ming Hu, Aadhirai Ramanujan, Mriganka Sur, Hema A. Murthy, "Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas." PLOS Computational Biology, 2021.

Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques

Mari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur, Hema A Murthy, "Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques." IEEE Transactions on Information Forensics and Security, 2021.

Seizure Detection Using Time Delay Neural Networks and LSTMs

A Thyagachandran, M Kumar, M Sur, R Aghoram, H Murthy, "Seizure Detection Using Time Delay Neural Networks and LSTMs." In the proceedings of 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2020.

Spoof Detection Using Time-Delay Shallow Neural Network and Feature Switching

Mari Ganesh Kumar, Suvidha Rupesh Kumar, Saranya M S, B. Bharathi, Hema A. Murthy, "Spoof Detection Using Time-Delay Shallow Neural Network and Feature Switching." In the proceedings of 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019.

Time Warping Solutions for Classifying Artifacts in EEG

Srihari Maruthachalam, Mari Ganesh Kumar, Hema A. Murthy, "Time Warping Solutions for Classifying Artifacts in EEG." In the proceedings of IEEE International Conference of Engineering in Medicine and Biology Society (EMBS), 2019.

Subspace techniques for task independent EEG person identification

Mari Ganesh Kumar, Saranya M. S., Shrikanth Narayanan, Mriganka Sur, Hema A. Murthy, "Subspace techniques for task independent EEG person identification." In the proceedings of IEEE International Conference of Engineering in Medicine and Biology Society (EMBS), 2019.

Spike Estimation from Fluorescence Signals Using High-Resolution Property of Group Delay

Jilt Sebastian, Mari Ganesh Kumar, Venkat S. Viraraghavan, Mriganka Sur, Hema A. Murthy, "Spike Estimation from Fluorescence Signals Using High-Resolution Property of Group Delay." IEEE Transactions on Signal Processing, 2019.

Task-Independent EEG based Subject Identification using Auditory Stimulus

Vinothkumar D, Mari Ganesh Kumar, Abhishek Kumar, Hitesh Gupta, Saranya M. S., Mriganka Sur, Hema A. Murthy, "Task-Independent EEG based Subject Identification using Auditory Stimulus." In the proceedings of Workshop on Speech, Music and Mind 2018, 2018.

Brain-Computer Interface using Electroencephalogram Signatures of Eye Blinks

Srihari Maruthachalam, Sidharth Aggarwal, Mari Ganesh Kumar, Mriganka Sur, Hema A. Murthy, "Brain-Computer Interface using Electroencephalogram Signatures of Eye Blinks." In the proceedings of Interspeech 2018, 2018.

GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals

Jilt Sebastian, Mari Ganesh Kumar, Y. S. Sreekar, Rajeev V. Rikhye, Mriganka Sur, Hema A. Murthy, "GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals." In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

Talks

EEG signals and task-independent person-specific signatures

April 23, 2019

Ph.D. Seminar I at Indian Institute of Technology Madras, Department of Computer Science and Engineering, Chennai, Tamil Nadu, India

Subspace techniques for task independent EEG person identification

January 29, 2019

Research Scholars' Symposium at WiSSAP 2019, Trivandrum, Kerala, India

Task-Independent EEG based Subject Identification using Auditory Stimulus

September 01, 2018

Conference Presentation at Workshop on Speech Music and Mind 2019, Hyderabad, Telangana, India

Workshops and Conferences attended

• Interspeech 2021, September 2021 (Attended Virtually).
• IEEE Signal Processing in Medicine and Biology Symposium, December 2020 (Attended Virtually).
• IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2019, Sentosa, Singapore, December 2019.
• 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, July 2019.
• Winter School on Speech and Audio Processing (WiSSAP) 2019, Trivandrum, India, Jan 2019.
• Interspeech 2018, Hyderabad, India, Sept 2018.
• Neuromorphic Computing Workshop, IISc, Bangalore, India, Jun 2018.
• Workshop on Computational Brain Research at IIT Madras, Chennai, India, Jan 2018.
• Brain Modes Workshop, NBRC, Gurgaon, India, Dec 2017.
• EEGLAB Workshop, AIISH, Mysore, India, Jan 2017.
• Workshop on Brain, Computation and Learning, IISc, Bangalore, India, Jan 2017.
• Workshop on Computational Brain Research at IIT Madras, Chennai, Jan 2017.