Himansh Mudigonda
Tempe, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolHimansh Mudigonda is a backend and machine-learning engineer with six years of experience building scalable AI systems and cloud-native infrastructure, currently founding backend and ML efforts at VelocitiPM while advising RTA. He designs and ships production MLOps and agentic AI platforms—having led a 30-agent AI engine on AWS that automated 80% of product workflows and cut response latencies by 85%—and routinely implements high-throughput services in Rust, C++, and TypeScript. His background spans end-to-end pipelines from multi-node distributed training and medical-imaging SOTA models to real-time inference on edge devices, plus hands-on optimization of GPU kernels and TensorRT deployments. He also brings strong systems-level engineering: high-concurrency APIs, event-driven serverless architectures, and reproducible IaC/CDK patterns that enabled multiple weekly releases and large DAU lifts in pilots. Notably, he co-authored a Nature-portfolio paper and has practical experience scaling GenAI and telemetry systems for enterprise customers across AWS and Azure.
6 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State UniversityBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at SRM University, AP - Amaravati
Telugu, English, Hindi
Github Skills (112)
ubuntu10
gimp10
window-manager10
wine10
inkscape10
arch10
gnome10
photoshop10
gnome-shell10
psd10
tiling10
scrollable10
luks10
window-management10
amdgpu10
Programming languages (14)
Github contributions (5)
himudigonda/ML-Models
Oct 2021 - Apr 2024
This repo contains basic ML Models that one should know!
Contributions:10 PRs, 19 pushes, 9 branches in 2 years 6 months
ml-modelspythondata-sciencedeep-learningmachine-learning
himudigonda/OOS-Soundpack
Jun 2021 - Apr 2024
Contributions:2 releases, 2 pushes, 1 branch in 2 years 10 months
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