aditya@dev:~$ whoami
I ship production AI/LLM features into Laravel & Node apps - not demos.
Full Stack Developer · AI Engineer · Solution Architect - Tech Lead @ MM Nova Tech · 9+ yrs · Lucknow, India
- adityakdevin@github
uptime9+ years on GitHub
locationLucknow, India
languagesPHP · JS · Python
- stats
repos64
commits8.3k+
seriesLaravel + AI on dev.to
$ open github/adityakdevin
$scroll --to proof ↓
$ ls services/
Chatbots, automations, and AI workflows that survive real users
LLM chatbots, streaming interfaces, and automation wired into real products - not demos.
OpenAI & Claude APIs with rate limits, spend caps, streaming and evals - because an AI feature is judged by what happens when the API is slow, wrong, or down.
I own the thing after it ships, not just until it merges
Laravel, Vue/Nuxt, React/Next.js - 9+ years of shipped systems for real businesses.
Payments (Stripe, Razorpay), integrations, and the unglamorous plumbing done right.
Solution design without the enterprise theater
Tech Lead at MM Nova Tech: system design, code review culture, and delivery cadence.
From requirements to running infrastructure, with the decisions written down where the next engineer will find them.
$ cat work/lead.md
A self-hosted personal-finance manager in Laravel 12 and Filament 4: thirteen domain models covering budgets, loans, cards, investments and goals. Designed, built, and shipped solo.
PHP 8.4 · Laravel 12 · Filament 4 · SQLite
Stripe, Razorpay for WooCommerce, AWS S3 uploads, PDF pipelines
Building AI features in Laravel, from chatbots to streaming
$ checksum --verify claims
Don't take my word for any of this - every claim below links to a source you can check in ten seconds.
$ ls -la ~/writing
Move the agent loop off the request cycle: queued jobs with per-run token budgets, retries that don't re-bill you, and a spend cap that actually stops.
An AI engineer's guide to automation that earns its keep: which work is worth automating, four systems worth building, and what they cost to run.
Turn a chat endpoint into a working agent: define tools as plain Laravel classes, run the tool-call loop safely, and ship it with guardrails.
The full RAG pipeline in Laravel 11 with Postgres and pgvector - embeddings, chunking, cosine retrieval, and an honest look at when you don't need it.
$ man hiring-aditya
Yes - most of my client work has been for companies in North America and Europe, delivered remotely from India. I overlap comfortably with US-morning and full EU hours, and everything runs through clear written specs, staging environments, and weekly demos.
A production chatbot on your existing Laravel or Node app - with streaming responses, rate limiting, and cost caps - typically lands in the $2,000-$8,000 range depending on knowledge-base complexity. Ongoing API costs are usually under $50/month for small businesses. I'll give you a fixed quote after a 30-minute scoping call.
I'm a full-time Tech Lead, and I take one or two side engagements at a time - AI integrations, Laravel builds, and architecture consulting. Book a call and I'll tell you honestly whether your timeline fits.
Backend: PHP/Laravel first, plus Python and Node.js. Frontend: Vue/Nuxt and React/Next.js with TypeScript. AI: OpenAI and Claude APIs, streaming interfaces, RAG pipelines. Infrastructure: MySQL/PostgreSQL, Redis, Docker, AWS.
Yes - a lot of my work is rescuing or extending systems other teams started. I begin with a paid audit (architecture, security, and a prioritized fix list) so you know exactly what you're sitting on before committing to bigger work.
Book a free 30-minute intro call. Come with the problem, not a spec - part of what I do is turn a business problem into a technical plan. If we're a fit you'll get a written proposal with fixed scope and timeline within a few days.
$ ./start-project.sh
The fastest path - come with the problem, leave with a plan.
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