Divyanshu Kakwani

Objective

Develop a better understanding of computers and human languages.

Experience

2021-Current: Software Engineer, Conversational AI, Nvidia
2018-2021: Research Scholar, IIT Madras
2017-2018: Software Developer, BookMyShow
2016: Software Developer Intern, Microsoft

Skills

Natural Language Processing, Machine Learning, Software Engineering, Linguistics, Bioinformatics

Projects

Education

MS in Computer Science from IIT Madras 2018-2021
Thesis: IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages.
Activities: Cricket Team Captain,

B.E. in Information Science from R.V. College 2013-2017
Thesis: Fish Detection and Classification Using Convolutional Neural Networks
Activities: Competitive Programming,

Publications

• Ramesh, Gowtham, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, AK Raghavan, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, J. Mahalakshmi, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Kumar Deepak, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar and M. Khapra. “Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages.” ArXiv abs/2104.05596 (2021)
• Kakwani, Divyanshu, Anoop Kunchukuttan, Satish Golla, Gokul N.C., Avik Bhattacharyya, Mitesh M. Khapra and P. Kumar. “iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages.” EMNLP Findings (2020).
• Kunchukuttan, Anoop, Divyanshu Kakwani, Satish Golla, C. GokulN., Avik Bhattacharyya, Mitesh M. Khapra and P. Kumar. “AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages.” REP4NLP workshop (2020), co-located with ACL
• Rekha, B., G. Srinivasan, S. Reddy, Divyanshu Kakwani and N. Bhattad. “Fish Detection and Classification Using Convolutional Neural Networks.” (2019).