Sep 2022 – Dec 2024 · 2 yrs 3 mos · Montreal, Quebec, Canada

• Advised by Prof. Irina Rish (currently on a leave of absence from PhD).
• Research focus:
• Efficient and scalable Large Language Models
• Model Compression

Mar 2021 – Sep 2021 · 6 mos

• Investigated and exhaustively experimented for the implications of the independent causal mechanisms in the machine translation task and Semi-Supervised learning
• Developed various few-shot learning models based on large pretrained LMs for logical fallacy detection of climatic News achieving the best Macro F1 Score of 45.88 using ELECTRA as base transformer model
• The research was well-received as two papers at EMNLP 2021 conference

Dec 2020 – Mar 2021 · 3 mos

• Built Architectural Plan Generator, that create architectural plan from basic user inputs like site boundary, entrance point, and room programming.

May 2020 – Aug 2020 · 3 mos

• Developed DeepLearning and Statistical Language model Framework for Julia users

Mar 2020 – Sep 2020 · 6 mos · Hong Kong SAR

• I am involved in the ongoing research on the track classification for identifying tau-leptons from Boson decay. I am working on developing deep learning based algorithms to efficiently classify between the background noise and tau-jets.

Sep 2019 – Mar 2020 · 6 mos

• Part of a team of 30 students selected by panel of Dean and professors for planning and execution of the placement of 3000+ students.
• Acted as a linkage between the administration, students, and company ensuring better career possibilities and recruitment process.