Tiasa Singha Roy

Machine Learning Engineer @ SpotDraft

About Tiasa Singha Roy

Tiasa Singha Roy is a Machine Learning Engineer with a background in Electrical, Electronics and Communications Engineering. He has held various positions in organizations such as Nanyang Technological University, LegalAI, SpotDraft, and DeepTek, contributing to the field of natural language processing and machine learning.

Current Role at SpotDraft

Tiasa Singha Roy is currently employed as a Machine Learning Engineer at SpotDraft, a position held since 2023. The role is based in Bangalore Urban, Karnataka, India, and follows a hybrid work model. In this capacity, Tiasa contributes to the development and implementation of machine learning solutions within the organization.

Previous Experience in Machine Learning

Prior to joining SpotDraft, Tiasa Singha Roy held several positions in the field of machine learning. She worked at DeepTek as a Machine Learning Engineer in 2023 for six months, and at entomo from 2021 to 2022 for eight months. Additionally, she briefly worked at LegalAI as a Machine Learning Engineer for one month in 2022.

Research Background in Natural Language Processing

Tiasa has experience in natural language processing (NLP) research. She worked as an NLP Researcher at Nanyang Technological University Singapore for eight months in 2022 and at the Indian School of Business for three months in 2022. These roles involved conducting research and developing NLP applications.

Educational Qualifications

Tiasa Singha Roy earned a Bachelor of Technology (BTech) degree in Electrical, Electronics and Communications Engineering from Manipal Institute of Technology. This educational background provides a strong foundation for her work in machine learning and engineering.

Internship and Research Assistant Experience

Tiasa completed a summer internship at the Indian Institute of Technology, Kanpur, in 2020 for five months. She also served as a Research Assistant at Manipal Institute of Technology from 2021 to 2022 for one year, gaining valuable experience in research and development.

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