Alexey Sudachen

Software Engineer ║ Infrastructure & Protocol Development

Email: alexey@sudachen.name
GitHub: https://github.com/sudachen
LinkedIn: https://linkedin.com/in/sudachen
Time Zone: UTC/GMT-3, Chile

Overview

I’m seeking a Software Engineer remote role. The ideal position would require extensive software development expertise, a deep understanding of modern hardware, network/system programming, and experience in protocol development.

As a software engineer, I thrive on solving complex challenges, from low-level device drivers to large-scale distributed systems. My career has been defined by a passion for both building innovative products from the ground up and diving deep into existing systems to modernize and improve them.

While my foundation was built on years of C++ development, I’ve spent the last several years specializing in modern systems languages, with a primary focus on Rust and a strong proficiency in Go. This allows me to build performant, safe, and concurrent software for demanding domains like fintech, cybersecurity and blockchain infrastructure.

Skills

• Infrastructure & Protocol Development: Rust, Go, C++, Python, System Programming (Linux, Networking, Kernel, Drivers, eBPF), Protocol Design (EVM, Rollups, Consensus Algorithms), Concurrency, Low-Level Optimization
• AI-Assisted Engineering: AI Spec-driven Software Development, LLM-Augmented Development (GitHub Copilot, WindSurf, Gemini CLI), Research Acceleration (NotebookLM, Gemini Deep Research), Prompt Engineering, Local Model Integration (llama.cpp, Hugging Face)
• DevOps, Cloud & Databases: CI/CD (GitHub Actions), Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes), AWS, Google Cloud, PostgreSQL, ELK Stack
• Blockchain & Web3 Ecosystems: Ethereum, Solana, EVM, WASM, SVM, Smart Contracts, Ethereum RPC, ABIs & Calldata Encoding

Experience

Senior Software Engineer / Founding Engineer ║ Analog One (Remote) — 2022–2025

Architected and led the end-to-end development of a high-performance blockchain-agnistic analytics GraphQL backend in Rust

• Owned the system’s architecture from initial prototype to a highly scalable, production-ready solution, making foundational decisions on the technology stack, data models, and API design.
• Engineered a blockchain-agnostic indexer to process over 100,000 data-retrieval triggers per minute from multiple EVM-compatible chains.
• Developed a novel SQL mapping mechanism to query and combine data from diverse on-chain (smart contract calls, event triggers) and off-chain (Web2 APIs, RPC) sources.
• Architected and implemented a BDD automated testing framework using Gherkin, achieving 90% test coverage for critical paths and significantly reducing pre-deployment defects.
• Created the initial CI/CD pipelines on GitHab with Github Actions and AWS deplyment.

Tools & Technologies: Rust, GraphQL, SQL, WASM, PostgreSQL / Aurora, Ethereum Compatible VMs, ABIs and calldata encoding, Docker, AWS, GitHub Actions, Linux

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Senior Software Engineer ║ Spacemesh.io (Remote) — 2020–2022

Contributed to go-spacemesh client development, focusing on math libraries and consensus algorithms to optimize blockchain operations. Maintained CI/CD pipelines and integrated advanced telemetry systems for performance tracking.

Tools & Technologies: Rust, Go, Terraform, Kubernetes, ELK, Google Cloud, Linux, Windows, Docker

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Data Scientist II ║ Vacasa (Hybrid) — 2018–2020

Built predictive models using Python and SQL, improving forecasting accuracy and operational efficiency. Automated ETL pipelines and managed infrastructure with Terraform, Docker and AirFlow.

• Developed and maintained cloud infrastructure for the team.
• Developed a user-friendly image labeling tool for employees to validate/verify labels predicted by the machine learning model.
• Participated in developing a model/tool ​​for identifying rental properties from photographs.
• Optimized Python code using low-level modules.
• Participated in developing ETL pipelines.

Tools & Technologies: Python, SQL, Go, Scala, Jupyter, Redshift, AirFlow, Terraform, AWS, Linux, Docker

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Software Developer ║ Remote/self-empoyed — 2006–2018

• Security and perfromance analysis on Ethereum Classic with new rust EVM

• R&D at DLP software : Pioneered solutions for encrypted GPT disk operations and implemented UEFI drivers for smartcards and tokens. Developed an abstraction layer for utilizing Windows DLLs in UEFI environments, enhancing system versatility.

  • Ported OpenCT and OpenSC libraries to work with smart cards and electronic tokens in UEFI environment.
  • Implemented special Verdor smart card / tokens protocols to support cryptography functions in UEFI environment.
  • Created DLL loader with basic implementation of required kernel and user DLLs to use certified Windows cryptographic DLLs in UEFI environment.
  • Ported several Linux drivers for network cards not supported by UEFI.
  • Implemented UEFI disk drivers and improved Windows drivers to boot the system from encrypted GPT disk.

• Windows Userspace Virtualization: Developing and selling own lightweight application virtualization software MoleBox Virtualization Solution. The software creates private virtual environment for a software application, isolating the application from the underlaying operating system and other software installed and running on the host device.
  Molebox is available now on my GitHub under GPL license.

• Game Development: Developing casual games based on own sprite-based game engine SpriteCratft. It’s a multilanguage framework to build simple casual games with Python and C++.
  SpriteCraft is available now on my GitHub under GPL license.

Tools & Technologies: R&D, x86/x64 Assembly, C, C++, Python, Windows, Linux, Reverse-Engineering, UEFI, Drivers