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About

625 words

Hi, I’m Ankit ๐Ÿ‘‹

I’m a platform / SRE engineer at Docsumo, a document-AI company, working from Kathmandu, Nepal. My day job is keeping a fleet of Kubernetes clusters and Python/Go services happy while they chew through millions of documents a month โ€” and building the tooling so other engineers can ship without thinking about the plumbing underneath.

I like the messy middle of infrastructure: the part where “it works on my machine” meets “it has to work for everyone, at 3 a.m., during a node failure.” Most of what I write on this blog comes from that place.

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Things I’ve been up to at Docsumo
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  • Rebuilt our document-processing pipeline into a distributed system that comfortably moves millions of documents a month.
  • Helped the team move critical workflows onto Temporal โ€” most of our clients run on it now, and it fails far more gracefully than what it replaced.
  • Built on-demand ephemeral dev environments that spin up a full product deployment when you need one and quietly tear it down when you don’t โ€” I wrote about how.
  • Moved live production traffic from Ingress to the Gateway API without anyone noticing. Zero downtime โ€” the good kind of boring.
  • Look after observability (Prometheus + Thanos โ€” there’s a post) and storage (Longhorn โ€” that one too).
  • Run a self-hosted Redis Sentinel cluster that shrugs off node failures and upgrades.
  • Built a feature-flag service on the OpenFeature spec so blue-green releases stopped being scary.
  • Made credential rotation routine across our cloud workloads, and built sandboxes that can safely run arbitrary Python.
  • Carry the pager, define the SLIs, keep the SLAs honest.

How I use AI
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I’m not training foundation models โ€” I’m the person who wires AI into everyday engineering work and actually gets value out of it:

  • Agentic CLI tools (Claude Code and friends) are my daily driver for writing code, debugging, and poking at infrastructure โ€” with guardrails in place so nothing touches production without a human saying so.
  • LLMs during incidents โ€” log analysis, hypothesis generation, and the endless one-off scripts that ops work produces.
  • The underlying tech isn’t a black box to me either: I did a machine-learning micro-degree at FuseMachines and NAAMI’s Winter School in AI, back before any of this was cool.

Where I’ve worked
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Docsumo ยท Remote / Singapore โ€” joined in 2023 as a DevOps/SRE engineer taming multi-tenant Kubernetes; since 2025 I’m the senior platform/SRE engineer. Along the way: migrated the whole org from GitLab to GitHub (and halved the tooling bill), cut database latency by about a third through data-model rework, and set up autoscaling with Keda/HPA that actually tracks load.

Yasok Systems ยท Kathmandu โ€” backend engineer from 2021 to 2022. Built site-wide search with Python + Meilisearch, made a Node.js ERP backend noticeably faster with Redis caching, and put together an async notification system on AWS SQS + Lambda.

FuseMachines ยท Kathmandu โ€” AI fellow in 2021, where the ML micro-degree happened.

Beyond work
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Things I’ve built for fun โ€” a 3D renderer, algorithm visualizers, a tank game โ€” live on the projects page.

I studied Computer Engineering at IOE Pulchowk Campus (2018โ€“2023). During that time I also taught Docker and cloud tooling in a one-month software fellowship โ€” turns out explaining containers to a room full of people is the fastest way to properly understand them yourself.

Certifications, for the record: AWS Cloud Foundations ยท FuseMachines ML micro-degree ยท NAAMI Winter School in AI ยท IBM Quantum’s “Qbit by Qbit” intro to quantum computing.

Say hi
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The inbox is always open: [email protected]. I’m also around on GitHub, LinkedIn, and Twitter/X. And if you’re hiring โ€” the CV button up top has the formal version of this page.