नमस्ते

Hi, I'm Vandit

building distributed systems

I build distributed systems, storage, and p2p (libp2p) in Go, plus the observability to run them in production. Member of Technical Staff at FluidCloud. My code is merged into Kubernetes, Prometheus, and Jenkins.

Before FluidCloud: hardened OSS container images at RapidFort, shipped to the U.S. DoD. Jenkins GSoC: mentee '23, mentor '24.

Currently contributing to a Lightning Network node, exploring web3 infra

Vandit Singh
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GitHub @Vandit1604 X @v4nd1t LinkedIn /vandit-singh Résumé PDF

Stack & Tooling

DevOps & Infrastructure

Docker Kubernetes Terraform Helm Jenkins GitLab CI Linux Nginx AWS Azure Oracle Cloud

Security & Auth

Container Security Image Hardening OAuth2 / OIDC Keycloak

Observability

Prometheus Grafana OpenTelemetry Loki Alertmanager ELK Stack

Distributed Systems & P2P

go-libp2p Kademlia DHT Content Addressing libp2p streams

Languages & Data

Golang JavaScript Python Java PostgreSQL MongoDB MySQL Redis DuckDB Git

Backend & Web

FastAPI REST APIs React Next.js GraphQL

Experience

Member of Technical Staff · FluidCloud

Nov 2025 – Present
  • Cross-team work across backend and infrastructure. Write custom cloud scanners in Go and deploy them across Oracle Cloud, AWS, and Azure; provision infra with Terraform.
  • Built service-to-service auth from scratch (Keycloak, OAuth2 client-credentials / OIDC), securing internal API traffic.
  • Built an Oracle Cloud cost-reporting pipeline from scratch using Oracle Functions and DuckDB to query CUR (cost and usage) data.
  • Improved observability across microservices: OpenTelemetry traces and metrics to Prometheus/Grafana with structured, trace-ID contextual logging.

Software Development Engineer · RapidFort Inc.

Jun 2024 – Nov 2025

Community Images, then Security Scanner

  • Community Images: hardened 12+ OSS container images (including IronBank / DoD images), shrinking their attack surface and cutting CVEs ~80%.
  • Scanner team: worked on the core scanner that finds CVEs in Docker images, and built an AI-assisted "sister-CVE" predictor (ExploitDB data + Flask + Python) for correlated CVEs.
  • Built cross-team configuration management adopted across prod, dev, and staging environments.

Founding Engineer · Aquanode

Jun 2025 – Aug 2025

GPU cloud for ML/AI, built with Ansh

  • Built the core Go backend for a GPU cloud platform: deploy on H100/A100-class GPUs across many providers and pay only while in use.
  • Built Mjolnir, the control-plane API tracking GPU deployment state across DataCrunch, Hyperstack, Nebius, and more, giving ML devs one control plane over fragmented providers.
  • Built Ogre, a distributed daemon running across the deployed GPUs for backups, health checks, and better GPU utilization.

Open Source

Not tutorials. Merged, reviewed code in the infrastructure the industry actually runs on, since 2022. Two years of Google Summer of Code with Jenkins: mentee in 2023, back as a mentor in 2024. Currently also contributing to a Lightning Network node. Every line below links to a real merged PR.

Kubernetes

Merged into core kubernetes/kubernetes: a regression test pinning the negative-index behaviour of json-patch. Also a contributor to kubernetes-sigs/kueue (job queueing for batch and AI workloads) and its Prow job config, on the build and CI side.

kubernetes#122625+25 −0

Prometheus

Multiple PRs merged into prombench, Prometheus' benchmarking test bench. Also worked in the query layer (a limit parameter on /query and /query_range) and exposed direct_reclaims_total in memcached_exporter.

prometheus#15552+280 −3 memcached_exporter#227+11 −0 prometheus/test-infra#719+65 −0 prometheus/test-infra#716+65 −2

Jenkins GSoC '23 mentee GSoC '24 mentor

Rebuilt the Jenkins docs (11M+ users) on a versioned GatsbyJS + Antora stack, shipped CI/CD to jenkins-infra, and modernized Java CI plugins. The year after being a mentee, I came back to mentor the next GSoC cohort.

docs.jenkins.io#11+4203 −848 docs.jenkins.io#12+800 −800 embeddable-build-status#163+130 −0
All 188 merged PRs → GitHub profile →

Featured Work

All projects →

Aquanode

with Ansh

GPU cloud platform for ML/AI teams: deploy on H100/A100-class GPUs across many providers and pay only while in use. Built the core Go backend, Mjolnir (a control-plane API tracking GPU deployment state across DataCrunch, Hyperstack, Nebius and more) and Ogre (a distributed daemon on the GPUs for backups, health checks, and better GPU utilization).

Go GPU cloud
aquanode.io →

Dockerium

Minimal rootless container runtime built on Linux namespaces and the Docker API; Xontainer adds rootless user/mount/PID-namespace sandboxing for OCI-style isolation.

Go Containers
Vandit1604/dockerium →

Phile Storage

Content-addressed P2P storage (CIDv1, sha2-256) over go-libp2p, with Ed25519 PeerID identity, Kademlia DHT routing, and a custom block-transfer stream protocol for trustless, deduplicated retrieval.

Go libp2p
Vandit1604/phile-storage →

Building

Two products I'm bootstrapping solo. Closed source, for now.

ThreadCite

In progress

Finds the Reddit threads ranking on Google for your keywords, tracks your share of voice, and hands you a coached reply for each. Reddit leads, minus the ban risk.

SEO Reddit
threadcite.live →

Argus

In progress

A Chrome extension for X that reads your real funnel (reach, visits, follows, saves) and tells you who to reply to, in your own voice. Turns reach into followers, not vanity numbers.

Chrome extension X / Twitter
argushq.cc →

Recent Blogs

All blogs →

How Prometheus Finds Matching Series in Milliseconds

tech prometheus

Observability That Actually Helps at 3am

infra observability

Let's connect

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