| Nov 2024 | Provided at a lightning talk on my recent work, FedCaSe at Stack@CS Center for Computer Systems at Virginia Tech. |
| Nov 2024 | I was featured in the blog of Chameleon Cloud, NSF’s premier cloud testbed for large-scale research! Check out the full story. |
| Oct 2024 | I was awarded $1800 in travel grants for attending ACM SoCC 2024! Thanks Dr. Ali and CS@VT. |
| Oct 2024 | Our paper on adaptive caching and scheduling across edge clients to improve FL performance titled “FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling” has been accepted at ACM SoCC 2024! |
| May 2024 | Excited to start my research internship at Microsoft for the summer of 2024! I’ll be building systems for running LLM workloads efficiently. |
| Mar 2024 | Provided a guest lecture on Deep Learning Caching Systems for Big Data Systems Course at University of Virginia. Thanks Dr. Yue Cheng for inviting me! |
| Nov 2023 | Attended Supercomputing Conference (SC’23). Thanks to VT and Dr. Ali Butt for providing the travel grants ($1000). |
| Apr 2023 | Presented a technical talk at IBM Research. Title: Insights into Managing Machine Learning Applications Using Optimal System Resources |
| Apr 2023 | Presented a technical talk at ByteDance. Title: Navigating the Tricky Path to Optimal Performance - Coordinating System Resources with ML Application Needs |
| Feb 2023 | Presented our work, SHADE at USENIX FAST 2023. |
| Dec 2022 | Our paper on building a novel caching system for Deep Learning workloads has been accepted to USENIX FAST 2023. |