Paridhi, an accomplished computer scientist specializing in AI, earned her Master of Science in Computer Science from Stanford University (2021-2023) with a GPA of 4.13/4.0, receiving the Research Distinction. At IIT Kanpur, she graduated with a Bachelor of Technology in Electrical Engineering (2014-2018) with a remarkable GPA of 9.74/10, ranking 3rd out of 140.

In her professional journey, Paridhi excelled as an Applied Science Intern at Amazon, Alexa AI, significantly improving the production seq2seq model. Previously, as a Research Associate at Adobe Research, she contributed to various Machine Learning problems and co-invented numerous patents.

Paridhi’s academic prowess is underscored by awards such as the Narotam Sekhsaria Scholarship, J.N Tata Scholarship, and the Women in Technology Scholarship by Adobe. Her research contributions include notable publications and projects at Stanford and Adobe Research, emphasizing her expertise in Graph-based Temporal Reasoning, Color Representations, and Knowledge Graph Creation.

Her skill set includes proficiency in programming languages like Python, C, C++, and frameworks such as PyTorch, Flask, and Git. Beyond her academic and professional achievements, Paridhi actively contributes to women in technology initiatives.