I work with teams focused on enterprise cloud architecture and applied AI engineering, supporting modernization efforts, reference architecture design, distributed systems and platform engineering.

Agents are one strand of that. The one I build in public is Loki Mode, the engine behind Autonomi. Everything I write, ship and think about lives at asklokesh.com.

• Applied AI engineering: getting AI and agent systems out of demos and into production.
• Enterprise cloud architecture: reference architectures other teams can build on.
• Modernization: moving large, long-lived systems forward without stopping them.
• Distributed systems: the part I first studied in grad school and still care about most.
• Platform engineering: platforms that other engineers actually want to use.

It started in 2008 with an old Red Hat server in a college lab. A professor let me install RHEL on a dusty machine in the corner, and I learned more in two weeks than I had in a semester. I still remember the first time I SSHed in from across the hostel and felt like a hacker in a movie. I wrote about that, and the vi struggle, on the blog.

After a B.Tech in Electronics and Communication, I worked as a Linux L3 engineer running datacenter operations. Then came an MS in Computer Science at Texas A&M, where I was a research assistant working on distributed systems.

From there I moved into cloud architecture at telecom scale. Since 2017 I have been working on cloud, data and AI platforms at a major entertainment company, leading architecture and engineering work at enterprise scale and building platforms that serve millions of guests. Along the way I picked up the certs people ask about (AWS Solutions Architect Professional, CKA, CKAD, RHCE, Microsoft DevOps Engineer Expert) and published two books.

The newest chapter is applied AI. I lead that work in my day job, and I build in public through Loki Mode and Autonomi. It is where everything above comes together: Linux operations, distributed systems, cloud platforms and a lot of hard lessons about what breaks in production.

Loki Mode / Autonomi is an autonomous software factory. You give it a GitHub issue, a spec or a one-line task, and it plans, builds and verifies, then opens a pull request with a receipt you can re-check offline. It runs on your machine with your own keys, and works with Claude, Codex and OpenCode. The source is available under BUSL-1.1.

The part I care about most is verification. I do not want an agent that says it is done, I want one that proves it.

npm install -g loki-mode
loki owner/repo#123     # turn a GitHub issue into a PR

I am also doing independent research on dependable multi-agent systems (HARLM, a paper on adaptive recursive language models) and finishing MIT Professional Education work in AI and machine learning. An MBA is next.

More on the portfolio page.

I have published two books, both in 2022:

• Mastering Cloud Engineering, a practical guide to building and running cloud infrastructure across AWS, Azure, GCP, Kubernetes and Terraform. (Amazon)
• From Strangers to Founders, stories of immigrants who helped build American industry and technology.

I also keep a blog with close to 200 posts, from RHCE and Docker 1.0 to re:Invent recaps, agents and what is different about leading AI teams. There is a newsletter too, Loki's Log.

Python, Go, TypeScript and Shell. AWS, GCP, Azure, Kubernetes, Docker, Terraform, ArgoCD and Jenkins. Lately: LLM orchestration, multi-agent systems and evaluation.

• Website and blog: asklokesh.com
• Autonomi: autonomi.dev
• Loki Mode: github.com/asklokesh/loki-mode
• Book a 30 minute call: asklokesh.com/schedule