Barriers to entry of gig workers in the gig platforms: exploring the dark side of the gig economy. - Aastha Behl; K. Rajagopal; Pratima Amol Sheorey; Ashish Mahendra (Aslib J. Inf. Manag., 2022)

Towards Personalized Intelligence at Scale. - Yiping Kang; Ashish Mahendra; Christopher Clarke; Lingjia Tang; Jason Mars (CoRR, 2022)

"Soar" or "Sore": Examining and Reflecting on Bank Performance During Global Financial Crisis - An Indian Scenario. - Shiba Prasad Mohanty; Ashish Mahendra; Santosh Gopalkrishnan (Int. J. Inf. Technol. Proj. Manag., 2022)

The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. - Jason Mars; Yiping Kang; Roland Daynauth; Baichuan Li; Ashish Mahendra; Krisztián Flautner; Lingjia Tang (IEEE Comput. Archit. Lett., 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (CoRR, 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Jayanaka L. Dantanarayana; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (ISPASS, 2024)

A Graph-Based Approach for Conversational AI-Driven Personal Memory Capture and Retrieval in a Real-world Application. - Savini Kashmira; Jayanaka L. Dantanarayana; Joshua Brodsky; Ashish Mahendra; Yiping Kang; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2024)