Arjune Mirchandani · Full Stack Engineer
Two decades of engineering,
accelerated by AI.
I design and ship production systems in TypeScript, Go, and Python — pairing twenty years of hard-won judgment with AI-accelerated delivery.
01 — APPROACH
Experience is the multiplier. AI is the accelerant.
Since 2006 I've shipped software across startups and scale — from monoliths to distributed systems, PHP to Go. That history is what makes AI genuinely useful in my hands: I know what good looks like, so I can move at machine speed without machine mistakes.
/ 01
Judgment first
Twenty years of production incidents, migrations, and rewrites taught me which corners can be cut and which will cut back. Architecture decisions are made deliberately, once.
/ 02
AI-accelerated delivery
I treat LLMs as a senior pair — scaffolding, test generation, refactors, and review — while I own the design and the last mile. The result: senior-quality code at a pace teams don't expect.
/ 03
Systems that last
Typed contracts, boring infrastructure, observability from day one. I build for the team that maintains it in year three, not the demo in week one.
02 — WHAT I OFFER
Three ways to work with me
Product engineering
End-to-end product builds — Next.js frontends, typed APIs, and the release discipline to ship weekly without breaking things.
Systems & APIs
High-throughput services in Go, data models that survive scale, and migrations executed without downtime.
AI integration
LLM features that actually ship — retrieval, evals, guardrails, and cost control, built by someone who runs them in production.
03 — SELECTED WORK
Case studies
2022 — 2026
Ledgerline
2026Real-time reconciliation engine processing 40M transactions daily. Rebuilt a nightly batch system into a streaming Go service with zero missed closes in 18 months.
View case study →Atlas Copilot
2025LLM-powered support copilot with retrieval over 200k docs. Shipped evals-first: deflection rose 34% without a single hallucination incident in production.
View case study →Meridian API
2024Public API platform serving 2,400 integrators. Designed the versioning and rate-limit architecture that survived a 30× traffic spike on launch week.
View case study →Fieldnote
2023Geospatial data pipeline for an agtech platform — Python ingestion, dbt models, and a Next.js analytics frontend the agronomy team actually uses.
View case study →04 — WORD OF MOUTH
What teams say
Arjune replaced a team of three contractors and still shipped ahead of schedule. The AI-assisted workflow is real — the code review quality is what sold me.
He designed the system, wrote most of it, and left us documentation good enough that onboarding new engineers takes days, not weeks.
Rare combination: staff-level architecture instincts with the shipping velocity of someone half his tenure. Our board asked who the new team was.
05 — WRITING
From the blog
The 20-year engineer's guide to not being replaced by AI
Why experience compounds instead of depreciating — and how to turn two decades of pattern-matching into an unfair advantage with LLMs.
06 — CONTACT
Let's build something worth shipping.
Tell me about the product, the deadline, and what's in the way. I'll reply within two business days.