AI AGENT & FULL-STACK ENGINEER

I build AI systems
that actually ship.

Production-ready AI agents, RAG systems, automations, and AI-powered products — built end-to-end from architecture to deployment.

Core stack:OpenAI · Claude · Gemini · RAG · MCP · Next.js

View AI Work →Start a Project →Download resume ↓
0+ years
Building production software
0+ products
From MVP to production
0 teams
Across startups and studios

Multi-model AI, in production. One product, integrated across three model providers — streaming, tool use, and RAG.

Multi-model routingLive
  • OpenAI · GPT11msok
  • Google · Gemini9msok
  • Anthropic · Claude14msok
3 model providersStreaming · Tool use · RAG

Stack

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • RAG
  • MCP
  • Tool Calling
  • Next.js
  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Supabase
  • Tailwind CSS
  • FastAPI
  • MongoDB
  • Vercel

idx/01Selected Work

Selected AI & Product Work

A selection of AI-powered products, SaaS platforms, and production systems I've built.

View all projects →

idx/02Capabilities

Production AI Capabilities

What I actually build: production-ready AI agents, RAG systems, automations, and AI-powered products — engineered from architecture to deployment.

  • AI Agents

    AI systems that can reason, use tools, access data, and execute multi-step workflows.

    • Tool calling
    • MCP integrations
    • Agent workflows
    • External API integrations
    • Human-in-the-loop systems
    • Agent memory

  • RAG & Knowledge Systems

    AI assistants grounded in your company's documents, databases, and knowledge.

    • Document ingestion
    • Retrieval pipelines
    • Vector search
    • Citations
    • Access-aware retrieval
    • Knowledge assistants

  • AI-Powered Products

    Production SaaS applications where AI is part of the actual product experience.

    • OpenAI
    • Claude
    • Gemini
    • Streaming
    • Structured outputs
    • AI UX

  • Full-Stack Engineering

    The production infrastructure around the AI system — frontend, backend, databases, APIs, authentication, and deployment.

    • Next.js
    • React
    • Node.js
    • PostgreSQL
    • Supabase
    • APIs

idx/03Experience

Where I've delivered

Seven-plus years across startups and studios — architecture, AI systems, and full-stack production ownership.

  1. Jul 2024 — Present

    Remote · Boca Raton, FL

    AI full-stack engineer · chainfuelz

    Scaled an AI and Web3 platform from concept to live production. Shipped multi-model AI tooling across OpenAI, Gemini, and Claude with streaming and tool calling, workflow automations, branded wallet infrastructure, and multi-dashboard state.

    Next.js · Node.js · OpenAI · Anthropic Claude · Google Gemini · MongoDB · Tailwind · AWS Amplify

  2. Jul 2023 — Jul 2024

    Remote

    Lead frontend engineer · chainfuelz

    Architected the entire frontend platform and LLM integration layer from scratch. Delivered AI-assisted content drafting, multi-dashboard architecture, and high-performance responsive interfaces.

    React · OpenAI · Google Gemini · Tailwind · Thirdweb · AWS Amplify

  3. Nov 2019 — Jul 2023

    Lewes, DE · Hybrid

    Senior frontend engineer · Off53c LLC

    Led frontend engineering across MVPs, SaaS products, and enterprise applications. Built reusable component systems, optimized rendering performance, and integrated complex REST APIs.

    React · Next.js · TypeScript · Material UI · Redux

  4. Oct 2019 — Mar 2020

    Remote

    Frontend developer · WBM International

    Modernized frontend architecture across 5+ retail web platforms. Migrated legacy stacks to React, Next.js, and Tailwind, boosting Core Web Vitals and engineering velocity.

    React · Next.js · Redux · Tailwind · PWAs

idx/04Skills & Stack

Technical Architecture & Skills

Technologies and frameworks I use to build robust, scalable AI systems and production web applications.

AI & LLMs

Production agents, multi-model routing, and RAG pipelines

OpenAI · Anthropic Claude · Google Gemini · RAG · Tool / Function Calling · MCP · AI Agents · Streaming · Structured Outputs

Frontend

Responsive, accessible, and high-performance interfaces

React · Next.js · TypeScript · Tailwind CSS · Motion

Backend & Data

Scalable APIs, relational databases, and auth layers

Node.js · PostgreSQL · Supabase · REST APIs · MongoDB

Infrastructure & Quality

Cloud deployments, testing, and continuous delivery

Vercel · AWS Amplify · CI/CD · Vitest · Git

idx/05About

Engineering mindset, founder-grade delivery

AI Agent & Full-Stack Engineer building production AI systems and the complete SaaS products around them.

Building with LLMs is easy; shipping AI systems that hold up under real business conditions is hard. Over the past seven years, I have architected and shipped production software across startups and studios — handling everything from agent reasoning and tool calling down to databases, APIs, and responsive frontends.

My core focus is AI engineering: designing AI agents that reason, call external tools, and execute workflows; building retrieval-augmented generation (RAG) pipelines grounded in domain data; and embedding multi-model integrations (OpenAI, Anthropic Claude, Google Gemini) with streaming and structured outputs.

My competitive advantage is full-stack capability. I don't stop at an agent prototype or prompt chain. I build the complete production application around the AI — Next.js frontends, Node.js and Python backends, PostgreSQL/Supabase databases, auth, billing, and cloud deployment. No handoff gaps, no friction.

Working principles

  1. End-to-end ownership

    I take products from workflow architecture to production deployment — AI reasoning, backend APIs, data layer, and UI.

  2. Production reliability over demo hype

    Deterministic guardrails, structured schemas, fallback models, and human-in-the-loop gates so agents execute safely.

  3. Multi-model pragmatism

    OpenAI, Claude, and Gemini routed based on task complexity, speed, latency, and cost rather than vendor lock-in.

  4. Calm, fast user experience

    Streaming responses, optimistic UI updates, clear visual hierarchy, and sub-second feedback loops.

idx/06Process

How we work — from architecture to launch

A predictable, high-tempo delivery rhythm — transparent checkpoints, rapid prototypes, and no surprises at launch.

  1. 01

    Understand

    Understand the business workflow, users, data, and desired outcome.

  2. 02

    Architect

    Design the AI, application, data, and integration architecture.

  3. 03

    Build

    Develop the agent, AI workflow, backend, and product experience.

  4. 04

    Connect

    Integrate APIs, tools, databases, authentication, and external systems.

  5. 05

    Evaluate

    Test reliability, outputs, edge cases, and production behavior.

  6. 06

    Deploy

    Ship, monitor, and improve the system in production.

“The best software disappears into the workflow — reliable enough to forget, polished enough to trust.”

How I think about every project

idx/07Contact & Engagement

Start a Project or Discuss an AI System

Currently available for 1–2 new projects. Whether you need a production AI agent, a full-stack MVP, or senior architecture ownership, reach out directly.

Direct line

hello@talhaamir.com

Availability & Location

Available for 1–2 new projects · (Remote)

Discuss Your Build →Download resume ↓

How We Can Work Together

AI Agent & RAG Pipeline

Multi-step autonomous agents, document indexing, vector search, and tool-calling backends.

Best for: Startups & SaaS adding AI capabilities

Full-Stack MVP Development

From blank canvas to production launch in weeks — Next.js, PostgreSQL/Supabase, auth, and billing.

Best for: Founders launching new products

Fractional / Senior Engineering

Senior technical leadership, architecture design, and critical feature delivery alongside your team.

Best for: Funded teams needing high-tempo velocity

Connect