Alexey Sudachen
Cross-Domain Software Systems Engineer at R&D
Hybrid Distributed Systems + Local/Edge AI | Rust • C++ • Python
Email: alexey@sudachen.name
GitHub: https://github.com/sudachen
LinkedIn: https://linkedin.com/in/sudachen
Time Zone: UTC/GMT-3, Chile
Overview
My focus is entirely on technical excellence, system architecture, and core development via the Individual Contributor (IC) track. I specialize in bridging the gap between heavy, complex software architectures and the harsh resource constraints of local, bare-metal edge environments.
I turn technical chaos and business constraints into highly performant, working systems. Having taken products from raw concepts through to decommissioning, I anchor my work in a deeply pragmatic philosophy:
- I see the “seams”: I know exactly where a system is compromised by necessity, and I don’t look the other way.
- I respect the context: I understand why an architecture ended up the way it did – whether driven by tight deadlines, hardware limits, or strategic pivots.
- I manage risk proactively: My goal is to design systems so that these inevitable trade-offs don’t turn into disasters during scaling or handoff to maintenance teams.
- I balance technical debt: I treat technical debt as a leverage tool, recognizing that trying to eliminate it entirely is both impossible and counterproductive to business goals.
My background spans hardware-software co-design (Linux kernel, UEFI-level security) and heavy data workloads (high-load networking, blockchain indexing). Recently, I’ve been applying this systems-level discipline to Deep Tech and Edge AI: integrating SLMs and CNN inference into Local Agentic Systems built for highly resource-constrained environments.
Core Expertise:
- Low-Level & Systems Engineering: Linux/RTOS kernel development, low-latency architectures, cooperative/concurrent runtimes, and secure, resource-constrained memory management.
- Hardware-Software Integration: Full-stack debugging (spanning cloud telemetry down to oscilloscopes and logic analyzers), system-layer simulation, mocking, and emulation.
- Edge AI & Hardware Co-Design: Local Small Language Models (SLMs) & CNNs, decentralized agentic systems, and hardware-software co-design.
- Distributed Systems & HPC: High-performance computing (HPC) and hybrid cloud-to-edge infrastructure.
- Core Languages (Commercial): Rust, Go, C++, Python, Java, Scala, Bash, SQL.
Experience
Principal R&D Engineer / Individual Contributor ║ Remote/Consulting — 2025–2026
- I provide specialized, short-term software engineering services and part-time consultancy as an independent professional.
I design and implement resilient, low-latency hybrid distributed systems where performance and efficiency are non-negotiable. My goal is to deliver reality-proof architecture that empowers engineering teams and solves non-trivial business challenges.
Open for B2B consulting contracts.
Senior Software Engineer / Founding Engineer ║ Analog One (Remote) — 2022–2025
Architected and led the end-to-end development of a high-performance distributed data ingestion engine with rich analytics GraphQL API 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 high-concurrency event processing system capable of handling 100,000+ data-retrieval triggers per minute across multiple asynchronous, decentralized nodes, utilizing Tokio and async code to minimize latency.
- Designed a heterogeneous data-normalization layer using a novel SQL mapping mechanism to unify state from diverse sources, including deterministic virtual machine (VM) logs, remote RPC endpoints, and external REST APIs
- Established an engineering culture of reliability by architecting a BDD automated testing framework (Gherkin/Rust), achieving 90% test coverage and implementing strict architectural reviews to ensure long-term maintainability.
- Owned the full DevOps lifecycle, implementing CI/CD pipelines via GitHub Actions and managing automated deployments to AWS using Docker and Infrastructure-as-Code principles to ensure 99.9% uptime.
Tools & Technologies: Rust, GraphQL, SQL, WASM, PostgreSQL / Aurora, Ethereum Compatible VMs, ABIs and calldata encoding, Docker, AWS, GitHub Actions, Linux
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
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, Rust/C++ (python extensions), Java, Scala, Jupyter, Redshift, AirFlow, Terraform, AWS, Linux, Docker
R&D Engineer / C++ Developer ║ Kaspersky Lab / DLP Research (Remote) - 2012-2018
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.
Tools & Technologies: R&D, C, C++, Python, x86/x64 Assembly, UEFI, Windows, Drivers, Cryptography, Reverse-Engineering
R&D Engineer / Independent Software Developer ║ Self-Employed — 2006–2012
Founded and ran an independent software studio as the primary engineer. I personally developed all core technologies from scratch while leading a small team to handle routine tasks and customer support.
Selected by Start-Up Chile: Awarded a place in the prestigious global accelerator program, which provided international validation for my technology and business model.
MoleBox Virtualization Solution
- Developed and commercialized MoleBox, a lightweight application virtualization suite, selling thousands of copies to customers worldwide.
- Engineered a system to create private virtual environments, effectively isolating applications from the underlying operating system and other host software.
- Managed the full product lifecycle: from initial architecture and security implementation to global distribution and support.
- Current status: The project has been transitioned to Open Source and is available on my GitHub under the GPL license.
SpriteCraft Game Engine
- Designed and built SpriteCraft, a multi-language (C++/Python) sprite-based engine tailored for casual game development.
- Successfully utilized the engine to develop and launch a series of casual games that achieved strong sales performance on major digital distribution platforms.
- Focused on creating a high-performance, flexible framework that simplified the transition from prototyping to a finished commercial product.
- Current status: The framework is now open-source and available on my GitHub under the GPL license.
Tools & Technologies: R&D, x86/x64 Assembly, C, C++, Python, Windows Internals, Reverse-Engineering, Virtualization, Game-Development