Ramteja Tadishetti is a Senior Staff Machine Learning Engineer based in California with 10 years of experience building high-performance systems at the intersection of deep learning, distributed systems, and networking. He architected Expedera’s full software stack from scratch and led cross-functional co-designs that pushed memory allocators, schedulers, and quantization frameworks to theoretical bounds while enabling LLM inference and efficient Llama 3.2 deployment on FPGA. At NVIDIA and earlier roles he tuned large-scale SDN and GPU cloud tooling for low-latency production workloads, blending systems-level performance engineering with ML model deployment expertise. He holds an MS in Computer Science from UMass Amherst and has a track record of patentable innovations in tensor memory and DMA optimization. Notably, he was Expedera’s first software hire and consistently pairs pragmatic C++ engineering with hardware-aware optimizations to minimize memory footprint and latency.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Massachusetts Amherst
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology, Kharagpur
Contributions:6 PRs, 13 pushes, 2 branches in 6 months
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Ramteja Tadishetti - Senior Staff Machine Learning Engineer at Zscaler