Komal Ganesan
Senior Platform Engineer
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolKomal Ganesan is a Senior Platform Engineer based in Melbourne with 9 years building and operating high-availability, low-latency systems across banking, national broadband, gaming and fast-moving payments platforms. She designs and runs multi-cloud, edge and CDN architectures (AWS, Azure, EKS, Cloudflare) that survive extreme traffic surges for peak events like Black Friday and Prime Day, and integrates secure partner flows using mTLS/OIDC. Equally at home in SRE, DevOps and software development, her toolkit spans Kubernetes, Kafka, Terraform, Python and Java, plus production-grade observability and secret management. A published AI/ML researcher and open-source contributor (github.com/komal-SkyNET/ai-neural-networks), she blends research-led machine learning work with pragmatic platform engineering to solve complex distributed problems. Her background includes deploying mission-critical Kubernetes and graph database solutions at national scale, a less obvious strength that informs her approach to resilient, data-aware platform design.
9 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science10th, 10th at Chinmaya Vidyalaya- CBSE, Chinmaya Nagar12th Science With Computer Science, 12th Science With Computer Science at Chinmaya Vidyalaya, Chinmaya NagarB.E Electrical and Electronics Engineering, B.E Electrical and Electronics Engineering at Anna University Chennai
English
Github Skills (123)
terraform10
charts10
azure10
application10
azure-resource-manager10
terraform-provider10
resource-manager10
fine-tuning9
helm9
pagerduty9
vector-database9
llm9
aws9
data-structures9
kubernetes9
Programming languages (7)
Github contributions (5)
komal-SkyNET/datastructures-algorithms
Mar 2019 - Jul 2023
Contributions:17 pushes, 1 branch in 4 years 4 months
komal-SkyNET/ai-neural-networks
Dec 2019 - Aug 2020
Artificial intelligence | Machine learning | Neural Networks
Contributions:64 commits, 1 PR, 61 pushes in 7 months
pythondeep-learningneural-networksmachine-learningartificial
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