Adheip Singh

Punjab, India

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Summary

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Rockstar

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Top School

Adheip Singh is a Golang-focused backend engineer with 8 years of experience building large, scalable cloud-native applications and infrastructure across multiple cloud platforms. He operates at the intersection of application, cloud, and infrastructure, with deep expertise in distributed systems, service meshes, and software architecture. He has made notable open-source contributions to Kubernetes operators, including work on the widely used Grafana Operator to improve security contexts, image pull secrets, and graceful termination handling. Beyond Go, he has contributed Rust backend code for ParseableDB, integrating AWS S3, TOML configuration, and stream/schema management for a diskless observability database. Based in Punjab, India, he pairs practical production experience with a strong operator mindset, often tackling the underappreciated glue between orchestration and application behavior. Colleagues describe him as reliably hands-on—“all day every day”—and focused on shipping robust, maintainable systems.

8 years of coding experience

Bachelor of computer Applications, BCA, Bachelor of computer Applications, BCA at G.G.G.S.D.College, Sector-32

Github Skills (19)

kubernetes10

kubernetes-operator10

grafana10

aws-sdk10

go10

amazon-s310

kubernetes-pods10

golang10

aws-s310

rust10

cloud-native10

s3-bucket10

operator10

openshift9

docker8

Programming languages (11)

TypeScriptDockerfileJavaShellRustCJavaScriptGo

Github contributions (5)

parseablehq/parseable

Aug 2021 - Nov 2022

ParseableDB is a disk less, cloud native database for observability and security. Parseable is the Observability platform built with ParseableDB

Role in this project:

Back-end Developer

Contributions:10 reviews, 45 commits, 21 PRs in 1 year 3 months

Contributions summary:Adheip primarily contributed to the back-end functionality of the ParseableDB project. Their work included implementing features like configuration file support using TOML, integrating AWS S3 for data storage, and creating stream management capabilities. The user demonstrated skills in Rust programming, utilizing AWS SDK for S3 interactions, and developing functionalities related to data ingestion and storage. They also implemented schema validation to improve the robustness of data handling.

rustelasticlatencyobservabilitylogging

grafana/grafana-operator

Jan 2020 - Jul 2020

An operator for Grafana that installs and manages Grafana instances, Dashboards and Datasources through Kubernetes/OpenShift CRs

Role in this project:

Back-end & DevOps Engineer

Contributions:8 commits, 4 PRs, 39 comments in 5 months

Contributions summary:Adheip primarily contributed to the Grafana operator project by implementing features related to termination grace periods, security contexts, and image pull secrets for service accounts. They made changes to the Grafana deployment configuration and associated types, indicating involvement in the core operator logic. The commits demonstrate a focus on Kubernetes resource management and configuration within the context of the Grafana operator's functionality.

observabilityopenshiftoperatorgrafanaprometheus

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