High-Performance Engineer

Chia Yong Kang

Building systems at the intersection of markets, optimization, and AI.

I work across Rust performance engineering, trading systems, prediction markets, AI-native research tools, and investment research.

Read my research View projects Contact me
Currently
  • Building prediction-market trading systems
  • Exploring options, volatility, and market structure
  • Running AI consulting experiments
  • Writing investment research on semis, AI infrastructure, and markets
Chia Yong Kang

Current Focus

Trading Systems & Prediction Markets

Exploring market structure, latency, execution, and edge in prediction markets. Building tools and systems around pricing, quoting, risk, and feedback loops.

AI Research Tools & Workflows

Using AI to compress research cycles: reading, summarizing, comparing, testing, and turning messy information into decisions.

Performance Engineering

Rust, low-latency systems, execution clients, infrastructure, and optimization. I care about correctness, speed, and systems that hold up under pressure.

Selected Work

A proof-of-work hub for the systems, markets, and research work I keep coming back to.

Reth

Performance engineering on Reth, the Rust modular Ethereum execution client with 5k+ GitHub stars and a reputation as the fastest EVM execution client in the ecosystem.

Rust · EVM · 5k+ stars · performance engineering

Quant Trading Guide

An engineer's map of trading strategies, market structure, and how to think about edge without overcomplicating the model.

markets · trading systems · edge

Funding Rate Arbitrage Screener

A practical look at funding-rate opportunities, screening, and the mechanics behind market-neutral crypto yield.

arbitrage · market data · research tooling

Investment Research

Fundamental research on semiconductors, AI infrastructure, energy bottlenecks, robotics, and macro regime positioning.

AI infra · semis · capital allocation

Markets & Research

Markets are where engineering, incentives, information, and uncertainty meet. I am interested in systems that help find, test, and express edge.

Current research interests:

  • Prediction markets, market making, execution quality, and inventory risk
  • Options, volatility, rates, and market structure
  • AI-native research workflows for faster reading and sharper synthesis
  • Semiconductors, AI infrastructure, power bottlenecks, robotics, and macro positioning
  • Capital allocation as an engineering problem: constraints, feedback, risk, and compounding

I enjoy trading as a process: forming hypotheses, sizing risk, reading incentives, finding structural edges, and learning from feedback. The result matters, but the craft matters too.

Systems & Open Source

Engineering is still the base layer. I like building tools that are fast, small, and useful.

  • reth: Rust modular Ethereum execution client with 5k+ GitHub stars. Performance-sensitive infrastructure built to be the fastest EVM execution client in the ecosystem.
  • rustygram: Minimal Rust Telegram notification framework with 6k+ downloads.
  • solidity-optimiser: Static analysis for smart contract gas optimization.
  • lighter-rust: Async Rust SDK for the Lighter trading platform.
  • git-webdiff: Web-based git diff server with hot reload and multi-repo support.
  • llmreader: LLM-powered document reader and summarizer.
  • happy: CLI productivity tool.

Writing

I write across two lanes: engineering systems and market research.

AI Stack

The Colossus Handoff

Capacity timing, reported economics, and where value accrues in the AI infrastructure stack.

 Meta

Meta Valuation and the AI Capex Fight

The ad monopoly funding a superintelligence land grab, and how to think about capex intensity.

 Compute Bottlenecks

Amdahl's Revenge

Why Blackwell clusters can sit idle, and who captures the value when compute is bottlenecked elsewhere.

 Options Strategy

The Option Seller's Playbook

Risk, premium, and why structure matters more than generic yield chasing.

Selected technical writing:

View technical articles · View investment research

Background

High performance critical systems securing billions of dollars.

  • Tempo / Reth: Performance engineering on Reth, a 5k+ star Rust EVM execution client built for best-in-class speed and reliability.
  • Chainlink Labs: Scaling oracles and keepers across Ethereum, Solana, and Aptos.
  • Treehouse Finance: Cross-chain DeFi analytics, data aggregation, and tETH.
  • Ranger Finance: Low-latency infrastructure for cross-chain perpetuals aggregation.
  • Spartan Labs: Smart contract projects and technical research.
  • Nethermind: Security tooling for protocols including Aave using Forta Bots.
  • StraitsX: Stablecoin infrastructure with focus on reliability and performance.
  • Velodrome: Core protocol development for liquidity markets on Optimism.

I have also won 10+ hackathons across databases, data markets, insurance, LLM tools, ZKML, and wallet tooling.

Contact

I am open to serious technical work around high-performance systems, trading infrastructure, AI research tools, Rust, and market-oriented engineering.

Best fit: AI + markets startups, prediction-market companies, AI finance research teams, quant dev / trading infrastructure teams, and founders looking for a technical cofounder.

Contact me

To a great mind, nothing is little