Arshdeep Singh Gill
About Arshdeep Singh Gill
Arshdeep Singh Gill is a Software Engineer specializing in AI, currently working at Symbl.ai in Seattle. He has a background in machine learning and data science, with previous roles at Infosys and Qtr, and holds degrees from Punjabi University, the International Institute of Information Technology Bangalore, and New York University.
Work at Symbl.ai
Arshdeep Singh Gill has been employed at Symbl.ai as a Software Engineer AI since 2023. In this role, he focuses on developing advanced AI technologies that analyze human communication nuances. His work involves creating sophisticated models that leverage artificial intelligence to enhance understanding in various contexts.
Previous Experience at Infosys
Arshdeep Singh Gill worked at Infosys for a total of four years, holding multiple positions. He served as a Software Engineer from 2016 to 2017, followed by a role as a Senior Software Engineer from 2017 to 2019. He then transitioned to a Machine Learning Engineer position from 2019 to 2021. During his tenure, he applied Convolutional Neural Networks to develop AI solutions for various business applications.
Experience at Qtr
In 2023, Arshdeep Singh Gill worked at Qtr as an AI/ML Engineer for three months. His responsibilities included leading the development of a Speech-to-Text module during an internship. He utilized Generative AI to transform transcriptions into meaningful content, showcasing his capabilities in the AI field.
Education and Expertise
Arshdeep Singh Gill holds a Bachelor's degree in Computer Science from Punjabi University, Patiala, which he completed from 2012 to 2016. He further pursued a PG diploma in Machine Learning and Artificial Intelligence at the International Institute of Information Technology Bangalore from 2018 to 2019. Most recently, he earned a Master's degree in Computer Information Science from New York University from 2021 to 2023. He has expertise in fine-tuning large language models and is skilled in various data science and machine learning tools and frameworks, including TensorFlow, MongoDB, NLTK, BERT, ELMo, LSTM, and GRU.