Building AI-powered workflows that make engineering teams 50-70% faster. AI engineer at John Deere, specializing in multi-agent systems, RAG, and production AI backends.

I'm an AI engineer who builds agentic systems for a living. Currently a Senior Software Engineer at John Deere, where I design and ship multi-agent platforms that change how engineering teams actually work - the intersection of LLMs, backend systems, and shipping real things people use.
The thing that drives me: I learn by building. When I want to understand something - OAuth and webhooks, RAG retrieval, bounded AI pipelines - I don't just read about it, I ship a working version. That's where ZapBridge, ARKEN, and PlantIQ came from: each one started as a question I couldn't answer from a blog post.
I'm allergic to hand-waving. I'd rather say "I haven't built that yet" and go build it than fake my way through - and when I build, I care about the why behind every decision: timing-safe validation, idempotency, graceful degradation, not just code that happens to run.
Before Deere I spent 2+ years at Mavenir building Go microservices for telecom-grade analytics on Kubernetes. Outside of code: dissecting new architectures and occasionally writing on Medium about things I figured out the hard way.
Technologies I reach for when shipping real systems, not just listed but actually used.
5+ years building AI agent systems and the production backends behind them.
Full profile โPersonal and open-source work - agentic AI, RAG, and event-driven systems.
Recognized by John Deere for impactful, cross-functional contributions.



I write about AI systems, distributed infrastructure, and lessons from shipping production software.
Read on Medium โWhether it's a collaboration, a project idea, or just a curious question, I'm all ears.
akashvnikam@gmail.com