Production experience
Enterprise Incident Investigation
An investigation tool I built to help my team bring operational evidence together and reason through production problems.
Internal team toolRead case study
Hi, I’m
Anjani Mishra.
I’m a reliability and platform engineer
based in Budapest.
I’ve spent 13+ years working on enterprise systems, from application delivery and environment build-out to production reliability and platform engineering. At SAP SuccessFactors, I own an operational analytics platform end to end, from reliability and automation to lifecycle management and day-to-day technical decisions. I also work on difficult production investigations as a technical escalation resource. Outside work, I run local LLMs and connect them to coding and automation tools. This is where I write about that work and the questions I’m exploring.
The day-to-day
Experience →Some of my engineering work
My current work centres on owning and improving an operational analytics platform. Investigation tooling and delivery infrastructure are related parts of that engineering work. These accounts focus on the problems and decisions, with employer-specific details kept private.
Production experience
Platform Modernization & GitOps
Designing a containerized Jenkins operating model with configuration, job definitions, and shared pipeline logic held in version control.
Enterprise modernizationRead case study
Outside the day-to-day
What I’m exploring
I’m working with local inference runtimes and model APIs, alongside independent trading-system engineering and strategy research. I keep the implemented work separate from the questions still being tested.
Local LLM Infrastructure Lab
Running local models on NVIDIA and Apple Silicon, connecting them to tools, and learning how runtime choices affect the whole system.
Automated Trading-System Engineering
Independent work on market-data and broker integrations, and the reliability questions that arise when software interacts with external systems.
The notebook
All notes →Notes from the work
AI Infrastructure
↗What Running Local LLMs Teaches You About AI Infrastructure
The integration questions I am working through in a local lab: the model, the runtime, the endpoint, and the client.
Platform Architecture
↗Building Reliable Automation with Jenkins, Containers, and GitOps
Why I separate the runtime, configuration, job logic, and persistent state when thinking about Jenkins modernization.
Say hello.
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