Shaan Sundar

Frontend focused Full stack Engineer

Today

A Web3 Developer with 6+ years of experience working in Account Abstraction, DEXes, Stablecoin rails and Hyperliquid Ecosystem.

A “Can do anything” All-Rounder with expertise in Web3 Frontend; Delivering Smooth, Secure and Seamless DApps.

Projects

Outcome
2025 — 2026
Lead Web3 frontend developer
Led early frontend development for Outcome’s prediction market, taking the product from a blank canvas to a working experience.
Contributed to its growth into the largest prediction market by volume on Hyperliquid.
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Rage Trade
2023 — 2024
Lead Web3 frontend developer
Built the user-facing experience for a perpetuals trading platform and helped scale its infrastructure.
Led frontend planning, feature validation, interface improvements, and UX optimization across the product.
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Biconomy
2022 — 2023
Fullstack blockchain developer
Led design and development of the Account Abstraction and Paymaster dashboard, spanning architecture, interface, and component libraries.
Maintained the Gasless Dashboard and Hyphen Bridge, with work across EIP-4337, EIP-2771, and EIP-3074.
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Ethernaut
2022
Contributor through Nethermind
Contributed to the frontend of Ethernaut, the smart-contract security game played by more than 5,000 developers.
Worked with the OpenZeppelin team on features, design requirements, and performance improvements.
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Experience

Outcome
Senior frontend developer · 2025–2026
Stripchain
Senior frontend developer · 2024–2025
Rage Trade
Frontend developer · 2023–2024
Biconomy
Fullstack blockchain developer · 2022–2023
Verum Capital
Fullstack blockchain developer · 2021–2022
Nethermind
Software development intern · 2022
Binance
Operations intern · 2021–2022

A little more

I studied Computer Science & Engineering at VIT Chennai and pursued an MBA at IIM Shillong.

Along the way: a win at Mercury Asia Hackathon and runner-up at NFT Vision Hack, both in 2021.

Experiments with AI

I build with AI in products and in my own workflow. A few experiments that made it into working software:

FOMO · AI for creator campaigns
Built video review that checks creator submissions against campaign guidelines and returns timestamped evidence. I also retrained a bot-detection model on 71,556 deduplicated profiles to flag suspicious audiences for human review.
Local models & coding workers
Benchmarked a quantized 27B model on a 16GB Mac, mapping its memory and context limits. Built Bonsai orchestration to run up to eight local MLX coding workers, with a larger model reviewing their patches.
Unreal Pi
Building a coding-agent platform around Pi’s terminal components and Unreal’s Go engine. Work continues after the terminal closes, with resumable sessions and explicit approvals for sensitive actions. Currently in alpha.