I am an AI Engineer and Full-Stack Architect who ships production AI features into real products: grounded assistants, GenAI workflows, agents with review, and LLM APIs with cost and privacy discipline.
If you searched for AI Developer or Generative AI Developer, you need more than a title. You need someone who can turn LLM APIs into product workflows your team can operate.
I am Prakash Tank, an AI Engineer and Full-Stack Architect based in Ahmedabad. I ship RAG assistants, chatbots, agents, GenAI features, and LLM integrations into Laravel, Node.js, React, and Python FastAPI systems.
The work stays grounded: citations where answers matter, human review where risk is high, token budgets where spend can spike, and service boundaries that keep your core product stable.
Meet me as an AI developer here. When you are ready to hire, go to Hire AI Developer. If you need last-mile embed in your environment, see AI-first Forward Deployed Engineer.
The tools used to ship production AI features.
Problems, method, stack, proof, ownership, and the path to hire.
Scattered knowledge, slow support answers, manual document work, and AI demos that never become reliable product features.
Define the AI role, ground answers in your data, keep humans in control for risky actions, and ship behind clear service boundaries.
Laravel, Node.js, React/Next.js, Python FastAPI, Postgres, Redis, pgvector, OpenAI, Claude, and practical queue workers.
Case studies across RAG, document intelligence, chatbots, and hybrid Laravel + FastAPI AI sidecars.
UI, API, queues, and model wiring from one engineer so you avoid fragmented handoffs across three roles.
Project, MVP sprint, or dedicated capacity. Start from the hire page when you are ready to engage.
Local presence for India clients, asynchronous delivery for global product teams looking for an AI Developer who can own UI, API, and model wiring together.
This page builds trust. Hire AI Developer explains engagement models. For last-mile embeds, use Hire Forward Deployed Engineer.
The AI Developer profile is product AI identity. The AI-first Forward Deployed Engineer page is the embed method: sit with the workflow, prototype, integrate, and ship. Commercial FDE offers live on Hire Forward Deployed Engineer.
Guides connected to production AI delivery.
A practical, 1,700+ word engineering rollout strategy for introducing AI features to an existing, revenue-generating Laravel SaaS application — covering risk classification, feature flagging with Laravel Pennant, shadow mode testing, human review gates, and production monitoring.
A comprehensive, 1,700+ word architectural decision guide comparing FastAPI and Laravel for AI backends — evaluating hosted API orchestration, local ML ecosystem access, database integration, async performance, and hybrid architectures.
What AI Developer Ahmedabad means in practice: local collaboration for Gujarat/India teams plus remote delivery habits for global SaaS products.
Common questions about identity, stack, hiring path, and what I refuse to build.