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Gauransh Dhruv Tandon

Gauransh Dhruv Tandon

Co-Founder at vedaya.ai, CS PhD Student at UBC, ex-Machine Learning Engineer at ServiceNow

gtandon
Vancouver
San Francisco Bay Area
Joined June 2025
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Summary

Gauransh Dhruv Tandon is an aspiring entrepreneur and co-founder of 'vedaya.ai', a stealth company. This venture led him to take a leave of absence from his CS PhD program at the University of British Columbia, indicating a strong entrepreneurial drive and belief in his startup. ubc+1
He is a dedicated researcher in Computer Science with a focus on Machine Learning and Software Engineering. His PhD research at UBC's Software Practices Lab involves Automated Program Repair, specifically auto-generating bug patches and analyzing bug-inducing inputs. He also has a publication on applying Machine Learning to analyze depression and alcoholism. ubc+3
Gauransh possesses practical industry experience as a Machine Learning Engineer and Associate Data Scientist at ServiceNow, where he applied AI in real-world scenarios and conducted investment analysis using advanced AI models like OpenAI's 'o3'. ubc+1
His academic background is extensive, including a Bachelor of Science from the University of Illinois at Urbana-Champaign with majors in Mathematics and Computer Science, and Economics, along with minors in Philosophy and Applied Statistics. He also undertook a visiting undergraduate research program at the University of Cambridge. ubc

Work

Education

Writing

Machine Learning Methods for Analyzing Depression and Alcoholism

January 1, 2018

Research paper presented at the ACM Symposium at the University of Illinois at Urbana-Champaign, discussing how depression boosts alcoholic abuse and vice-versa, with potential early detection methods.

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Exploring DISSCO: A Guide for Digital Sound Synthesis and Composition

January 1, 2018

A research poster created with the aim of providing a manual and tutorial for DISSCO, a sound synthesis and composition software, to help users from diverse backgrounds.

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Singularity refers to a stage in the future when the implications of all advances in technology – specifically, in artificial intelligence (AI) – will converge to the idea that machines are infinitely smarter than human beings.

A paper discussing the concept of singularity in the context of AI advancements.

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