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[Full Stack Engineer] Arpit Singh #1069

@LSUDOKO

Description

@LSUDOKO

Application Position

Full-Stack Engineer

First Name

Arpit

Last Name

Singh

Telegram

ADORANRO

How did you find out about this job?

Google

Link to Portfolio

https://portfolio-nu-jade-59.vercel.app

Link to LinkedIn Profile

https://www.linkedin.com/in/arpit-singh-1a857b2a9/

Short Description

I’m Arpit Singh, a Computer Science undergraduate at NIT Hamirpur, and a full-stack Web3 developer with strong experience building production-grade decentralized applications, smart contracts, and scalable backends.

I’ve built and shipped multiple end-to-end Web3 products across Ethereum, Flow, Sui-based chains, and Story Protocol covering smart contract design, wallet integrations, backend automation, and modern React/Next.js frontends. My work includes a tokenized real-world asset marketplace with fractional ownership, an AI-powered fantasy sports dApp with automated on-chain settlements, and an autonomous IP enforcement agent that detects and acts on infringement using blockchain and AI.

One of my strongest differentiators is execution under real constraints. I’ve won 7+ hackathons and placed top-tier in 20+ events, including 1st place at Forte Hacks by Flow (USD 5,000) and MetaMask Card Dev Cook-Off (USD 3,000) which reflects my ability to ship reliable Web3 systems fast, not just prototypes.

Beyond projects, I’m an open-source contributor with merged PRs during GSoC contribution period and Hacktoberfest, where I worked on terminal rendering, public APIs, test coverage, and blockchain tooling in Go, Solidity, and Scala ecosystems. This has given me strong engineering discipline, code review experience, and comfort working in real production codebases.

Technically, I bring a full-stack mindset: Solidity/Cadence/Move for smart contracts, TypeScript/Go for backend services, React/Next.js for frontends, and deep understanding of wallets, indexing, IPFS, automation, and security-aware design. I also have strong DSA and problem-solving fundamentals (700+ problems solved), which helps me reason about performance, edge cases, and scalability.

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