Shivam Akhauri
Staff Machine Learning Engineer at SolarWinds
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolShivam Akhauri is a Staff Machine Learning Engineer with 9 years of experience building production-grade AI infrastructure and agent platforms for enterprise observability and document intelligence. Based in Austin, he designed a cross-cloud Foundation-Agent Marketplace and an LLMOps control plane that reduced agent onboarding from weeks to hours while meeting SOC 2 and FedRAMP-aligned controls. Previously he architected a multimodal long-context foundation model that boosted document-extraction F1 from 92% to 97% across 50M+ financial documents and cut serving costs by $200K annually. Shivam combines low-level edge-AI optimization—hand-stitched cuDNN inference runtimes and lightweight depth networks—with high-level orchestration like LangGraph, Semantic Kernel, and RLHF gates to deliver 99.9% SLAs. He has published peer-reviewed research on domain-adaptive RL for autonomous driving and repeatedly translates cutting-edge models into scalable, cost-efficient systems. An engineer comfortable across Python, Go, Rust and embedded C++, he focuses on making complex AI agents actually work in production.
8 years of coding experience
9 years of employment as a software developer
Master of Engineering - MEng AI and Robotics, Master of Engineering - MEng AI and Robotics at University of MarylandBachelor’s Degree, Bachelor’s Degree at RV College Of Engineering
German, English
Github Skills (48)
natural-language-understanding9
pytorch9
python9
machine-learning9
natural-language-processing9
speech-recognition9
nlp9
transformer8
deep-learning8
bert8
tensorflow8
google8
residual-networks7
transformers7
clip7
Programming languages (5)
Github contributions (5)
ToyasDhake/project_hecate
Nov 2019 - Oct 2020
Contributions:3 PRs, 34 pushes, 2 branches in 10 months
shivamakhauri04/Robot_dog
Dec 2019 - Oct 2020
Contributions:7 commits, 6 pushes, 1 branch in 10 months
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