Anjali Ramchandani
Software Engineer at Palo Alto Networks
Campbell, California, United States
Summary
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Top SchoolAnjali Ramchandani is a software engineer with 8+ years building and deploying microservices and distributed systems for SaaS and security-focused applications. She specializes in Python (Django), Go, AWS, containers and Kubernetes, with solid foundations in data structures and algorithms that drive reliable production services. Her background spans IoT and embedded firmware to cloud-native event-driven architectures, giving her a rare full-stack systems perspective from device firmware to analytics pipelines. She has delivered features for insider-risk and security products, automated complex build/deploy pipelines, and optimized search-heavy workloads using OpenSearch, RabbitMQ, Celery and Kafka. Comfortable troubleshooting deep production issues (Kubernetes, Datadog, SumoLogic) and writing tests and infrastructure automation, she blends pragmatic engineering with an eye for observability. Based in Campbell, CA, she pairs a UC Riverside MS in Computer Science with hands-on experience that accelerates bringing complex, secure products to market.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at D. Y. Patil College of Engineering ( DYPCOE ) , Akurdi, PuneMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Riverside
Github Skills (10)
azure8
microsoft-azure7
microsoft7
bacnet6
opc6
device-management6
sdk6
control-systems4
iot4
automotive4
Programming languages (2)
Github contributions (2)
intrepidcs/neoobd2_sdk
Jun 2018 - Jun 2019
SDK for neoOBD2 family of automotive IoT vehicle network interfaces from Intrepid Control Systems
Contributions:14 commits, 28 pushes, 8 branches in 11 months
automotiveopcuadevice-managementnetwork-interfacessdk
MicrosoftDocs/azure-docs
Sep 2018 - Sep 2018
Open source documentation of Microsoft Azure
Contributions:3 comments, 3 issues in 6 days
azuremicrosoft-azuremicrosoftskilling
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