Kamron Bhavnagri is a software engineer based in Melbourne with seven years’ experience building cloud-native, data-driven products that blend front-end polish with scalable back-end services. He combines expertise in Svelte/React frontends and TypeScript/Python backends with practical ML experience—training and deploying hundreds of PyTorch models and evaluating them on cloud platforms. At Leidos he shipped a highly efficient cloud renderer and advanced shader-based image processing, and earlier roles saw him build AWS microservices, near-99% recursive user identification algorithms, and production-ready testing pipelines. A strong communicator and mentor, he has led training programs and translated complex research into workshop-ready materials and business-facing reports. He brings a rare mix of graphics, ML, and systems engineering skills that make him effective at turning experimental models into reliable product features.
7 years of coding experience
5 years of employment as a software developer
VCE, NA, VCE, NA at Brentwood Secondary College
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at Monash University
Contributions:10 commits, 1 PR, 9 pushes in 1 year 3 months
pytorchmonashdeep-learningneural-networkstraining
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