Kamron Bhavnagri

Software Engineer at Leidos Australia

Melbourne, Victoria, Australia
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Summary

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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.
code7 years of coding experience
job5 years of employment as a software developer
bookVCE, NA, VCE, NA at Brentwood Secondary College
bookBachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at Monash University
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Stackoverflow

Stats
11reputation
0reached
1answer
0questions
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Github Skills (161)

prediction-model10
testing10
language-learning10
workspace10
energy10
home-manager10
webextension10
linux10
nix-darwin10
continuous-integration10
predict10
carbon-emissions10
anki10
multiplexer10
svelte10

Programming languages (16)

JavaC++RustCGoHTMLSvelteJupyter Notebook

Github contributions (5)

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KamWithK/AnkiconnectAndroid

Mar 2022 - Dec 2022

Unofficial Ankiconnect for Android (i.e. for Yomichan)
Contributions:15 releases, 20 reviews, 48 commits in 9 months
androidankianki-flashcardsankiconnectankidroid
DeepNeuron-AI/Training

Dec 2020 - Mar 2022

Official Monash DeepNeuron Training!
Contributions:10 commits, 1 PR, 9 pushes in 1 year 3 months
pytorchmonashdeep-learningneural-networkstraining
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