Girish Chandrashekar
Senior Software Engineer at Zalando
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolGirish Chandrashekar is a Senior Software Engineer with 11 years of experience building scalable backend and cloud-native systems, currently at Zalando in Berlin. He combines an academic grounding in electrical engineering and signal processing with hands-on expertise in machine learning, pattern recognition, and Java/Angular full‑stack development. At Jina AI he focused on runtime stability and observability—adding graceful shutdowns, OpenTelemetry tracing, and robust health checks to a popular multimodal serving framework—highlighting his DevOps and production-readiness mindset. His background in fault detection research and practical work on search and cloud architectures gives him a strong footing in both algorithmic thinking and distributed system design. An open-source enthusiast, he favors improving reliability and instrumentation to turn experimental ML systems into dependable production services.
11 years of coding experience
11 years of employment as a software developer
M.S., Electrical Engineering, M.S., Electrical Engineering at Rochester Institute of TechnologyB.E, Electronics and Communication, B.E, Electronics and Communication at M.S. Ramaiah Institute of Technology
English, Kannada
Github Skills (19)
kubernetes10
docker10
python10
dockers10
kubernetes-pods10
opentelemetry10
grpc10
fastapi9
cicd9
mlops9
microservices8
orchestra8
orchestration8
cloud-native8
pytest8
Programming languages (4)
Github contributions (5)
jina-ai/serve
Sep 2022 - Jan 2023
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:111 reviews, 96 commits, 78 PRs in 4 months
Contributions summary:Girish's commits primarily focus on enhancing the runtime environment and improving the stability and instrumentation of the Jina AI serving framework. They added features to control runtime behavior by introducing mechanisms for graceful shutdowns and exception handling. Furthermore, the user implemented OpenTelemetry tracing and metrics capabilities and improved the health check and logging functionality, demonstrating a focus on DevOps practices. These changes involved modifications to runtime components, networking, and testing frameworks.
opentelemetryllm-inferencecreative-aigrpcproduction
girishc13/es-operator
Mar 2022 - Sep 2022
Kubernetes Operator for Elasticsearch
Contributions:35 pushes, 3 branches in 6 months
kubernetes-operatorkubernetesoperatorelasticsearch
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.