Vinod Nigade
ML Performance & Efficiency @ eBay Amsterdam

I am Machine Learning Performance Engineer at eBay, Amsterdam. Prior to this, I was a postdoctoral researcher in the HPDC group at VU Amsterdam. I received my PhD and MSc (cum laude) from VU Amsterdam. During my PhD, I focused on developing a DL inference serving system for latency-sensitive video analytics applications. This involved designing networked systems that leveraged various modern computing platforms, including end devices, the edge, and the cloud.
I have around five years of industrial experience in computer systems, specifically in distributed and data storage systems. I am fortunate to have received several awards and recognitions, including Best ASCI PhD Thesis Award 2023, an Outstanding Paper Award at IEEE RTSS 2022, an NVIDIA hardware grant (which includes two A30 GPUs), and a full two-year scholarship for my master’s degree.
Reviewer
IEEE Transactions on Services Computing (2025), IEEE/ACM UCC INTEL4EC (2023, 2024), NWO ICT Open (2023)Selected Publications
- ACM APNetA Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoTIn ACM Asia-Pacific Workshop on Networking (APNet) , Aug 2024
- IEEE RTSSJellyfish: Timely Inference Serving for Dynamic Edge NetworksIn IEEE Real-Time Systems Symposium (RTSS) , Dec 2022(Artifact Evaluated)
- US Patent