Experience

Research experience

• Research Intern @ Speechlab, NTU Singapore (Summer 2023 & Fall 2023)
  Dr. Chng Eng Siong
  • Developing a pipeline to facilitate code-switch (English-Malay) text generation for NER task.
  • Using Self-Bleu to access the quality of prompts and multi-lingual BERTScore to filter out good quality code-switch candidates.
  • Replicating the approach for low-resource languages, demonstrating adeptness in cross-lingual NLP strategies.
  • Domain: NLP, Codeswitching, text generation
• Research Intern @ CFILT Lab, IIT Bombay (Winter 2022 & Spring 2023)
  Dr. Puspak Bhattacharya
  • Researched an automated method for linking multilingual Indo-Wordnet using sense embeddings.
  • Incorporated One-to-One and translation-based filtering techniques to optimize candidate search space, achieving top-k similar synset retrieval efficiency in wordnets.
  • Submitted results and findings at LREC-Coling 2024 – The 2024 Joint International Conference.
  • Domain: NLP, Multi-lingual semantics, Sense embeddings

Work experience

• SAP Labs India (Jun 2023 - Aug 2023)
  Software Developer Intern | Banglore, India
  
  • Migrated code from SAP UI5 to React framework of OneSAP Portal, an application designed to enable customer success solutions.
  • Integrated components required for ticket-raising and live attachments functionality within the application.
  • Skills: React, SAP Cloud Application Programming Model, SAP UI5, OData Services
• Google Summer of Code at Forschungszentrum Jülich (May 2022 - Sep 2022)
  Open Source Developer | Remote
  
  • Custom method was devised to parallelize 1D and 2D fully-distributed convolutions. APIs for both implementations are consistent with other mainstream libraries and provide appropriate functionality.
  • Performance was improved by adopting MPI collective communication (Bcast) instead of point-to-point non-blocking communication (Isend and Irecv) among the processes.
  • Skills: PyTorch, Parallel Algorithms, Convolution, MPI