Yarco Hayduk, PhD

A private, research-first Web3 fund focused on blockchain infrastructure, tokenization, stablecoins, and AI-native systems.

• Led technical diligence on prospective investments through deep reviews of whitepapers, protocol design, and systems architecture.
• Conducted founder interviews and technical deep dives to assess execution risk, architectural trade-offs, and the credibility of technical claims.
• Built AI-assisted research workflows to accelerate diligence and internal decision-making.
• Wrote internal research reports and diligence memos covering protocol design, technical risk, and ecosystem dynamics.
• Supported portfolio companies on systems challenges spanning indexing, parallel execution, infrastructure reliability, and on-chain data.

Blockchain indexing infrastructure spanning multiple EVM networks with differing reorg and finality behavior.

• Oversaw the design of a decentralized indexing pipeline, retrofitting a local multi-chain EVM indexing system backed by relational databases for deployment on the Moonbeam Network.
• Refined multi-chain ingestion, consistency, and query paths to preserve the reliability and performance of the centralized system across supported EVM networks.
• Contributed to strategies for handling reorgs, finality, and chain-specific indexing behavior across supported EVM networks.

A proprietary trading firm building quantitative strategies and high-frequency trading infrastructure across crypto markets, with live multi-venue execution spanning both DeFi and CeFi.

• Drove the design and implementation of proprietary market-neutral strategies and high-frequency trading systems across crypto venues, with a strong focus on execution quality, arbitrage capture, and execution risk management.
• Built resilient trading infrastructure spanning exchange connectivity, order routing, monitoring, and failure handling for live multi-venue deployment.
• Developed the observability stack for real-time latency profiling, execution validation, and strategy performance analysis.

Decentralized censorship-resistant storage network with multi-language client libraries.

• Led implementation and support for Go, C#, and Ruby client libraries while preserving strict protocol consistency across runtimes.
• Defined and implemented cross-language client behavior with consistent semantics and predictable error handling.
• Translated asynchronous and synchronous protocol semantics into the C++ client implementation.

Enterprise software and infrastructure consulting across JVM systems, cloud platforms, and production web applications.

• Designed and built enterprise applications in Scala and Java.
• Built backend services and web platforms using Spring-based stacks, relational databases, and containerized deployment workflows for client-facing products.
• Owned deployment and operational environments on GCP, covering infrastructure administration, monitoring, release workflows, and ongoing production maintenance.

EU-funded consortium (Neuchâtel, TU Dresden, BSC Barcelona, IMEC Belgium) targeting energy optimization across the full data center stack, with production integration work for IMEC Belgium and Cloud & Heat Technologies in Germany. This work was conducted alongside the PhD and produced most of the resulting publications.

• Designed a distributed message-passing framework on top of Akka (Actor Model) to accelerate execution across available CPU, GPU, and distributed resources.
• Developed a compile-time code rewriting framework using Scala Macros for transparent energy-aware optimizations, requiring no application-level changes.
• Integrated agent-based coordination into existing systems at IMEC Belgium and Cloud & Heat Technologies to support seamless production operations.
• Received a Best Paper Award at DAIS 2016 for work on energy-efficient actor execution on heterogeneous architectures.

B2B pricing optimization and revenue management software for large product catalogs, pricing workflows, and data-driven commercial decision-making.

• Contributed to Java-based pricing optimization software used to support large-scale catalog pricing, price guidance, and margin-focused decision workflows.
• Worked on data-intensive application components involving pricing logic, statistical analysis, and high-volume product and customer datasets.
• Overhauled ORM query batching and related data-access paths to improve data-fetching throughput by 40%.