Waqas Raza is an AI-Native Full-Stack Engineer based in Lahore, Pakistan. He is Top Rated on Upwork with over $180,000 earned, 93% job success score, and 12+ years of experience building production AI agents, LLM systems, Web3 platforms, and full-stack applications for global clients.

What does Waqas Raza specialize in?

Waqas Raza specializes in AI agent development (OpenAI, LangChain, LangGraph), LLM integration with RAG and guardrails, Web3 and Solidity smart contracts, full-stack development (Next.js, Node.js, TypeScript, Flutter), payment systems (Stripe), and data pipelines.

What is Waqas Raza's Upwork rating and track record?

Waqas Raza is Top Rated on Upwork with a 93% job success score, over $180,000 in total earnings, 12+ years on the platform, and 15 consecutive five-star reviews. He has completed projects across AI, Web3, SaaS, payments, and data engineering for clients globally.

Can Waqas Raza build AI agents and LLM-powered applications?

Yes. Waqas Raza builds production-grade AI agents with tool use, RAG, strict guardrails, and predictable cost controls using OpenAI, LangChain, LangGraph, and FastAPI. He has shipped a deep research agent, a DocOps automation agent, speech analytics platforms, and AI-powered pipelines.

Does Waqas Raza do Web3 and Solidity development?

Yes. Waqas Raza develops Solidity smart contracts on Ethereum and Base, DeFi banking platforms, ERC-4337 smart account systems, token launch studios, and milestone escrow contracts. He works with Foundry, Hardhat, and Ethers.js.

What technologies does Waqas Raza use?

Waqas Raza's core stack includes Next.js, TypeScript, Node.js, React, Flutter, Python, Supabase, PostgreSQL, Redis, Stripe, OpenAI, LangChain, LangGraph, Solidity, Foundry, Hardhat, Docker, AWS, and GCP.

Is Waqas Raza available for freelance projects?

Yes. Waqas Raza is available for freelance projects at 30+ hours per week with a typical response time of 0–4 hours. He can be hired through his Upwork profile at upwork.com/freelancers/waqasraza.

Where is Waqas Raza based?

Waqas Raza is based in Lahore, Pakistan. He works remotely with clients worldwide across the US, EU, and other regions. He is fluent in English and has worked with teams at Delivery Hero (Berlin) and Hello HD (EU startup).

Ethereum Token Launch Studio — Case Study

The Problem

Launching an ERC-20 token involves a deceptively short list of steps—write the contract, deploy, verify, register—but each step has failure modes that are painful to debug and expensive to retry if not handled correctly.

Most token launch implementations are one-off scripts. They work once, in a specific environment, with a specific wallet. They are not recoverable. They have no visibility. They are not reusable.

This client needed a platform to run repeatable, observable token launches across multiple projects with a team of operators.

What Was Built

Ethereum Token Launch Studio is a monorepo with three workspaces working in concert:

apps/web — Next.js project dashboard with real-time launch status
worker — Node.js runtime that executes launches off the UI thread
contracts — Hardhat 3 workspace with ERC-20 contract and deployment scripts

The launch workflow is worker-driven: the UI submits a launch request and displays a live activity feed. The worker picks it up, deploys, verifies on Etherscan, and writes the result to a project contract registry in Supabase.

Why Worker-Driven

On-chain operations cannot run in a Next.js API route. A typical token deployment takes 30–60 seconds and a network hiccup can cause the HTTP request to time out mid-broadcast. If the transaction was broadcast before the timeout, you now have a deployed contract with no record of it.

The worker solves this by:

Persisting the launch intent before touching the chain
Broadcasting and waiting for confirmation independently of any HTTP connection
Writing the confirmed deployment to the registry atomically
Supporting retry and cancellation via status flags

The UI subscribes to status updates via Supabase Realtime—no polling required.

Contract Registry

Every verified deployment is registered in a project-scoped contract registry: address, chain ID, deployer wallet, block number, Etherscan verification status, and deploy timestamp. This makes the registry the single source of truth for what contracts exist and who owns them—not a Hardhat artifacts folder that only exists locally.

Replayable Infrastructure

The most underrated feature: every migration and validation step is replayable. Before a launch, the system runs a sequence of checks—schema validation, contract compilation, environment variable completeness, previous registry state. If any check fails, the launch is blocked before touching the chain.

This "preflight" pattern catches the common mistakes (wrong RPC URL, missing private key, stale artifact) before they cause a stuck deployment.

Key Engineering Decisions

Hardhat 3 over Foundry for this project—the client's team was more familiar with JavaScript tooling, and the Hardhat task system integrated cleanly with the Node.js worker.

Supabase as the infra boundary. Auth, realtime, and the contract registry all live in Supabase. This means a new team member needs one set of credentials to get full visibility into the system, not four different services.

Protected workspace routes. Project isolation is owner-enforced at the API level—not just in the UI. A user cannot read or write to a project they do not belong to, even with a valid session token.