Konrad Strachan — neoinfo

konrad@strachan — zsh — 90×30

philosophy

💡 Driven by insatiable curiosity and an appetite for solving complex real-world problems.

🚀 Iterate rapidly, fail fast, instrument everything. Build → measure → learn → repeat. The tightest loop wins.

⚖️ Successful systems require aligning incentives of participants, not just well architected software.

🧐 KISS principle advocate — condensing complex technical elements into clearly articulable forms.

highlights

$2B+volume handled on deployed systems

2020first production L2 rollup DEX using ZK

2021first blended CLOB + AMM markets on an L2

20+complete systems architectured and delivered to production

zerouser funds lost, hacks and data breaches

career

Anera Labs

cofounder & CTO · current

AI April 2026 → ongoing

anera.exchangeOne marketplace for AI inference — access multiple model providers with transparent pricing and unified billing. No vendor lock-in, full spend visibility.

anera.financeWhere capital meets compute — borrow against GPU capacity or lend into the AI buildout, with clear terms and decisions made by people, not black boxes.

anera.marketsReal-time indices that track the AI economy — compute prices, utilisation and performance benchmarks for investors, operators and researchers.

Liquid Sphere Nov 2024 → Mar 2026

Proprietary high-frequency market-making platform written in Rust, executing spot and perp strategies across CEXs (Binance, Bybit, Binance Futures, Kraken), DEXs and on-chain venues (Hyperliquid, Lighter).

Key innovations: a pluggable strategy framework (funding-rate arbitrage, grid PMM family, basis, TWAP, Avellaneda–Stoikov), a full control plane (frontend with audit changelogs), a 16-venue market-data ingestion service (Cerebrum) for automated backtesting, and a high-performance strategy tracing system to reduce iteration time and make complex interactions between markets and strategies easily understandable.

Architected for HFT, deployed in colocated DCs around the world, using feed multiplexing and custom chain ingestion stacks to gain millisecond signal advantages.

Cross-chain intent filling Feb 2024 → mid-2025

A market-making/filling operation that fills user bridge orders on intent-based protocols (Nitro/Router, Across, Synapse, Bebop PMM) across a dozen+ EVM chains, earning the spread and protocol incentives. Started as a simple single-venue filler that evolved into Icarus — a 20+ service fleet with per-protocol ingestion, pricing, refund tracking, inventory management, watchdogs and alerting.

RustHFTLow latencyMarket makingCross-chainEVMIntentsAI infrastructureLLM researchLLM inferenceAgenticNode.jsPythonArchitecture

Rhinofi — formerly DeversiFi

CTO · 2020 → 2023

Navigated several shifts within web3 across previous market cycles. Built the high-performance matching engine and execution infrastructure that processed >$1.5B USD in volume without issue and powered the first production-ready Layer 2 rollup DEX back in 2020 — CEX-grade speed, liquidity and convenience with decentralisation, self-custody and trustlessness.

Liquidity was modular by design: custom modules proxied centralised liquidity onto local orderbooks with smart order routing, one source being the first AMM to blend price curves with dynamically quantised orderbook liquidity, while a purpose-built Layer 2 AMM engine delivered gas-free interactions against truly trustless pools of user-supplied liquidity.

Implemented trustless bridging from EVM and non-EVM chains.

C++17Matching engineL2 rollupsZKAMMOrderbooksEVMLow latencyNode.jsPythonArchitecture

CryptoCompare

Head of Data · 2017 → 2020

Managed the development and QA team, introduced engineering best practices and raised safety standards across teams. Acted as the interface between the business, external customers and development, and implemented incident-response policies with multi-tier support processes.

Architected and built low-latency market-data infrastructure for collecting and processing trade and orderbook data, plus a fault-tolerant contributions platform feeding Thomson Reuters (Refinitiv) via Elektron APIs. Built the mechanism letting data sources push directly to CryptoCompare instead of relying on collection-based infrastructure, with automatic outlier detection for aggregated market-data feeds.

C++Market dataEVMLow latencyNode.jsPythonArchitecture

TeamViewer

Senior Software Developer · 2014 → 2017

Contributed to the remote-access client and server codebases including the TeamViewer Windows desktop client. Heavily involved in Windows service development for the ITbrain platform comprising AntiMalware and System Monitoring — implementing system and low-level hardware monitoring capabilities, and developing and helping secure the ITbrain Antivirus solution on the Bitdefender SDK. Extensive back-end service development with SQL and Cassandra, plus third-line customer support.

C++WindowsCross platformCross architectureSecurityMonitoringLow-level hardware integrationsRemote accessSQLCassandra

Thomson Reuters

Software Engineer · 2008 → 2012

Built a real-time multi-vendor contribution system connecting market-data feeds from Reuters and Bloomberg systems alongside other providers into a single contribution pipeline. Built a high-performance in-memory caching layer that kept feed handlers reliable and persistent through failures. Contributed to the creation of the next generation of Reuters Market Data Systems — order routing, contributions and data collection.

C++Market dataReal-timeLow latencyContributionsOrder routingIn-memory caching