people | Preethi Jyothi

Current students

Sona Elza Simon (Ph.D. student, Works on transfer learning using multilingual LLMs)
Sanjeev Kumar (Ph.D. student, Works on extremely low-resource NLP)
Poulami Ghosh (Ph.D. student, Works on robust NLP)
Darshan Prabhu (Ph.D. student, Works on efficient learning for ASR and NLP)
Amit Tiwari (M.S student at CMInDS, Works on attention in multimodal models)
Malay Kedia (B.Tech. student, CSE Senior, Works on thinking in LLMs)
Yash Vikas Sabale (B.Tech. student, CSE Senior, Works on thinking in LLMs)
Ujwal Shankar (B.Tech. student, CSE Senior, Works on multimodal LLMs and model merging)
Suhas Alladaboina (B.Tech. student, CSE Junior, Works on multilingualism in LLMs)
Ruchir Sujit Barhate (B.Tech. student, IEOR Junior, Works on multilingualism in LLMs)
Ronil Mandavia (Graduated with a B.Tech. in EE in 2024, Works on attention in multimodal models)

Alumni

Postgraduate students

Barah Fazili (AI Engineer at Institute for Healthier Living Abu Dhabi, Graduated with Ph.D. in 2026, Worked on cross-lingual NLP)
Ashish Mittal (Research Scientist at Google DeepMind India, Graduated with Ph.D. in 2026 and co-advised by Prof. Sunita Sarawagi, Worked on text-based adaptation of ASR and ASR-LLM integration)
Vinit Unni (Qualcomm Research, Graduated with Ph.D. in 2024, Worked on domain adaptation in ASR)
A. Snegha (IBM Research, Graduated with M.S. at CMInDS, Worked on cross-lingual transfer learning in NLP)
Soumen Kumar Mondal (Ph.D. at MBZUAI, Graduated with M.S. at CMInDS, Worked on cross-lingual learning in NLP)
Ashish Sunil Agrawal (IBM Research, Graduated with M.S. in 2024, Worked on cross-lingual NLP)
Ayyagari Sathya Sai Srikar (KLA, Graduated with M.Tech. student in 2026 and co-advised by Prof. Pushpak Bhattacharyya, Worked on disfluency modeling and multimodal learning)
Daksh Goyal (Qualcomm, Graduated with M.Tech. in 2026, Worked on tool-augmentation for audio LLMs)
Abhishek Kumar Gupta (Research Fellow at Microsoft Research India, Graduated with M.Tech. in 2025, Worked on multimodal learning)
Himanshu Dutta (Research Fellow at Microsoft Research India, Graduated with M.Tech. in 2025 and co-advised by Prof. Pushpak Bhattacharyya, Worked on RAG and agentic MT)
Bhavani Shankar (Qualcomm, Graduated with M.Tech. in 2024, Worked on multilingual LLM prompting and spoken translation)
Dhiraj Kumar Sah (Qualcomm, Graduated with M.Tech. in 2024, Worked on code-switched speech modeling)
Yashwant Singh Parihar (Optym, Graduated with M.Tech. in 2024, Co-advised with Prof. Ganesh Ramakrishnan, Worked on fairness in speech)
Saurabh Kumar (Optym, Graduated with M.Tech. in 2024, Co-advised with Prof. Ganesh Ramakrishnan, Worked on controllable speech synthesis)
Piyush Singh Pasi (Amazon, Graduated with M.Tech. in 2023, Worked on multimodal learning)
Vedant Singh (Couchbase, Graduated with M.Tech. in 2023, Worked on accented ASR)
Rohit Kundu (Google, Graduated with M.Tech. in 2022, Co-advised with Prof. Pushpak Bhattacharyya, Worked on disfluency modeling)
Mayank Kothari(IITB, Graduated with M.Tech. in 2022, Co-advised with Prof. Ganesh Ramakrishnan, Worked on ASR adaptation)
Shubham Nemani (Qualcomm, Graduated with M.Tech. in 2022, Co-advised with Prof. Ganesh Ramakrishnan, Worked on audio-based multimodal learning)
Pranjal Saini(Apple, Graduated with M.Tech. in 2022, Co-advised with Prof. Ganesh Ramakrishnan, Worked on audio-based multimodal learning)
Ankita Singh(Apple, Graduated with M.Tech. in 2022, Co-advised with Prof. Kameswari Chebrolu, Worked on crowdsourcing for Indian languages)
Nikhil Saini (Samsung Electronics, Graduated with M.Tech. in 2021, Co-advised with Prof. Pushpak Bhattacharyya, Worked on disfluency modeling and spoken translation)
Jayaprakash Akula (Samsung R&D, Graduated with M.Tech. in 2021, Co-advised with Prof. Ganesh Ramakrishnan, Worked on video captioning and retrieval)
Abhishek Thakur (Cohesity, Graduated with M.Tech. in 2021, Co-advised with Prof. Ganesh Ramakrishnan, Worked on video captioning and retrieval)
Samrat Dutta (Qualcomm, Graduated with M.Tech. in 2021, Co-advised with Prof. Ganesh Ramakrishnan, Worked on memory-augmented models for MT)
Mayur Warialani (Google, Graduated with M.Tech. in 2020, Co-advised with Prof. Ganesh Ramakrishnan, Worked on dense captioning and retrieval)
Achari Rakesh Prashanth (Motive, Graduated with M.Tech. in 2020, Co-advised with Prof. Ganesh Ramakrishnan, Worked on dense captioning and retrieval)
Minali Upreti (Mercedes-Benz R&D, Graduated with M.Tech. in 2019, Worked on accented ASR)
Arijit Mukherjee (Meta, Graduated with M.Tech. in 2019, Co-advised with Prof. Ganesh Ramakrishnan, Worked on low-resource question-answering)
Digvijaysingh Gautam (Regie, Graduated with M.Tech. in 2019, Co-advised with Prof. Ganesh Ramakrishnan, Worked on audio event detection and video summarization)
Pankaj Joshi (Google, Graduated with M.Tech. in 2019, Co-advised with Prof. Ganesh Ramakrishnan, Worked on audio event detection and video summarization)
Adarsh Rahul Jaju (Dista, Graduated with M.Tech. in 2019, Co-advised with Prof. Pushpak Bhattacharyya, Worked on Spoken MT)
Abhilash Panicker (Samsung R&D, Graduated with M.Tech. in 2018, Worked on lecture ASR for Indian languages)
Abhinav Jain (Amazon, Graduated with M.Tech. in 2018, Worked on accented ASR)
Sanket Gandhare (Microsoft, Graduated with M.Tech. in 2018, Co-advised with Prof. Pushpak Bhattacharyya, Worked on spoken MT)
Himanshu Agarwal (Microsoft, Graduated with M.Tech. in 2018, Worked on low-resource ASR)

Undergraduate/dual-degree students (with thesis projects or co-authored a paper)

Amruta Mahendra Parulekar (Ph.D. student at UIUC, Graduated with dual degree, B.Tech. in EE in 2025, Worked on multimodal learning and speech synthesis)
Ankur Verma (NK Securities, Graduated with dual degree, B.Tech. in EE in 2025, Worked on flow-based models for text-to-speech)
Harsh Poonia (M.S. student at Carnegie Mellon University, Graduated with B.Tech. in CSE in 2025, Worked on equivariant architectures for speech)
Sabyasachi Samanataray (Samsung Research Korea, Graduated with B.Tech. in CSE in 2025, Worked on cross-lingual NLP)
Adyasha Patra (M.S. student at UC San Diego, Graduated with B.Tech. in CSE in 2025, Worked on code-switched speech and pathological speech processing)
Divyansh Singhal (Quantbox, Graduated with B.Tech. in CSE in 2025, Co-advised with Prof. Soumen Chakrabarti, Worked on tokenization and transformer architectures)
Anshul Verma (Graduated with B.Tech. in CSE in 2025, Co-advised with Prof. Soumen Chakrabarti, Worked on tokenization and transformer architectures)
Omkar Nitsure (M.S. student at ETH Zurich, Graduated with B.Tech. in EE in 2025, Worked on accented speech and cross-lingual NLP)
Aryan Vijay Bhosale (Graduated with B.Tech. in ME in 2025, Worked on multimodal learning)
Sameep Chattopadhyay (Ph.D. student at University of Washington, Graduated with dual degree, B.Tech. in EE in 2025, Worked on multimodal learning)
Azeem Azaz Motiwala (Microsoft, Graduated with B.Tech. in EE in 2025, Worked on OOD generalization of pretrained VLMs)
Sahil Nilesh Dharod (MS in Carnegie Mellon University, Graduated with B.Tech. in EE in 2025, Worked on OOD generalization of pretrained VLMs)
T Pavan Kalyan (Research Fellow at Microsoft Research India, Graduated with dual degree, B.Tech. in EE in 2024, Worked on expressive speech synthesis)
Harshvardhan Agarwal (MS in Stanford University, Graduated with B.Tech. in CSE in 2024, Co-advised with Prof. Soumen Chakrabarti, Worked on tokenization in multilingual LLMs)
Koustubh Rao (Qube Research, Graduated with B.Tech. in CSE in 2024, Co-advised with Prof. Ganesh Ramakrishnan, Worked on flow-matching models for speech synthesis)
Govind Saju (Rubric, Graduated with B.Tech. in CSE in 2024, Worked on parameter-efficient cross-lingual NLP)
Richeek Das (Ph.D. at University of Pennsylvania, Graduated with B.Tech. in CSE in 2023, Worked on code-switched NLP)
Sahasra Ranjan (Co-Founder and CTO of MathCraft, Graduated with B.Tech. in CSE in 2023, Worked on code-switched NLP)
Vineet Bhat (Ph.D. at NYU, Graduated with B.Tech. in EP in 2023, Co-advised with Prof. Pushpak Bhattacharyya, Worked on multilingual disfluency modeling)
Anmol Reddy Mekala (MS at UMass Amherst, Graduated with B.Tech. in CSE in 2022, Co-advised with Prof. Ganesh Ramakrishnan, Worked on subset selection techniques for ASR)
Ritika (Google, Graduated with B.Tech. in CSE in 2022, Worked on code-switched NLP)
Shreya Pathak (Google DeepMind, Graduated with B.Tech. in CSE in 2022, Worked on code-switched NLP)
Yash Gupta (Headlands Technologies LLC, Graduated with B.Tech. in CSE in 2022, Worked on scientific document summarization)
Rohan Shah (Eightfold, Graduated with B.Tech. in CSE in 2022, Worked on cross-lingual NLP)
Archiki Prasad (Ph.D. student at UN Chapel Hill, Graduated with dual degree + B.Tech. in EE in 2021, Worked on accented ASR and robust ASR)
Anuj Jitendra Diwan (Ph.D. student at UT Austin, Graduated with B.Tech. in CSE in 2021, Worked on low-resource and multilingual ASR)
Arjit Jain (Co-founder and CTO of TurboML, Graduated with B.Tech. in CSE in 2021, Worked on speech augmentation and low-resource image captioning)
Soumya Chatterjee (Apple, Graduated with B.Tech. in CSE in 2021, Collaboration with Prof. Sunita Sarawagi, Worked on constraint-driven MT)
Pranay Reddy Samala (Parallel Web Systems, Graduated with B.Tech. in CSE in 2021, Worked on speech augmentation and semi-supervised learning for ASR)
Yash Sharma (Matic Robots, Graduated with B.Tech. in CSE in 2021, Worked on speech augmentation and semi-supervised learning for ASR)
Drumil Trivedi (Masters in Finance at MIT, Co-advised with Prof. Sunita Sarawagi, Graduated with B.Tech. in CSE in 2021, Worked on dictionary-based adaptation for ASR)
Mohammad Ali Rehan (FlashIntel AI, Graduated with a B.Tech. in CSE in 2021, Worked on code-switched NLP)
Karan Taneja (Ph.D. student at Georgia Tech, Graduated with a B.Tech. in EE in 2020, Worked on code-switched speech processing)
Ishan Tarunesh (Co-founder of TailoredAI, Graduated with a B.Tech. in CSE in 2020, Worked on code-switched text generation)
Nitish Joshi (Ph.D. student at NYU, Graduated with a B.Tech. in CSE in 2020, Worked on accented ASR and learning with noisy labels)
Kartik Khandelwal (Mistral AI, Graduated with a B.Tech. in CSE in 2020, Co-advised with Prof. Sunita Sarawagi, Worked on black-box adaptation of ASR)
Syamantak Kumar (Ph.D. student at UT Austin, Graduated with a B.Tech. in CSE in 2020, Worked on code-switched NLP)
Yash Shah (Glean, Graduated with a B.Tech. in CSE in 2020, Worked on hybrid models for LMs and active learning for speech)
Chitwan Saharia (Co-founder of Ideogram, Graduated with a B.Tech. in CSE in 2019, Worked on multimodal audio/video learning)
Vishwajeet Singh Bagdawat (Adobe, Graduated with a B.Tech. in CSE in 2019, Worked on multimodal audio/video learning)
Kalpesh Krishna (Google DeepMind, Graduated with a B.Tech. in EE in 2018, Worked on neural LMs and constraint-driven learning)
Saurabh Garg (Thinking Machines Lab, Graduated with a B.Tech. in CSE in 2018, Worked on code-switched speech and NLP)
Tanmay Parekh (Ph.D. student at UCLA, Graduated with a B.Tech. in CSE in 2018, Worked on code-switched speech and NLP)
Suman Swaroop (Rubrik, Graduated with a B.Tech. in CSE in 2018, Worked on crowdsourcing for speech in Indian languages)
Rajat Chaturvedi (Gaja Capital, Graduated with a B.Tech. in CSE in 2018, Worked on crowdsourcing for speech in Indian languages)
Jayanth Shankar Chennareddy (ImagoAI, Graduated with a B.Tech. in CSE in 2018, Worked on low-resource multilingual ASR)
Mohit Vyas (Microsoft, Graduated with a B.Tech. in CSE in 2018, Worked on accent identification from speech)
Sohum Dhar (Rubrik, Graduated with a B.Tech. in CSE in 2018, Worked on attention-based models for ASR)