Senior Software Engineer · Systems thinker · End-to-end owner
From backend architecture to the product interface, I turn complex constraints into dependable software teams can ship, run, and trust. I work across distributed systems, cloud platforms, Go, Python, and TypeScript.
Meet Liel
A quick introduction to who I am and what I do.
Watch on YouTubeProfessional experience
Since 2021, I have worked across backend, cloud, platform, and frontend boundaries to ship production software that teams can maintain and operate.
to Present
Current roleArchitecture · Reliability · Delivery
Design and maintain a resource allocation and hierarchy system, owning backend behavior, data consistency, and the product interface.
Stack & systems
to
Platform APIs · Developer experience
Built an abstraction layer over OpenShift that simplified provisioning, configuration, and deployment workflows.
Stack & systems
to
Microsoft Azure · Microservices
Developed production applications on Microsoft Azure in a microservice architecture across multiple product domains.
Stack & systems
Azure services
Technical expertise
I choose tools around the system’s constraints and stay involved across the boundaries that determine whether the product works in production.
01 / Core
Services and APIs with clear boundaries, reliable data flows, and maintainable code.
02
Concurrency, event-driven workflows, messaging, caching, and durable persistence.
03 / Cloud
Applications and internal platforms delivered through managed cloud and containers.
04
Security-aware engineering from application boundaries down to Linux kernel tooling.
05
Enough frontend and product context to turn capable infrastructure into useful software.
Selected projects
I’m enthusiastic about Go (Golang), systems programming, and understanding how software works beneath the surface. These projects turn that curiosity into working systems, from kernel-level security to search algorithms and developer tools.
Kernel-level security · Go & C
A per-process firewall that connects a browser control plane and backend services to a Go host agent and kernel-level eBPF enforcement on Linux.
Explore the organizationWhat drew me in
Building on my degree and systems programming knowledge, I explored how operating systems, networking, and process-aware security fit together. I was especially excited to connect Go in user space with C and eBPF programs running inside the Linux kernel.
Inside the system
A browser interface for organizations, protected hosts, processes, dashboards, and firewall rules.
Human-facing and machine-facing APIs coordinate authentication, product workflows, and host synchronization.
Persistent models connect users and organizations with hosts, processes, and the policies enforced on them.
The Go agent observes processes, synchronizes policy, and bridges backend services with kernel-level enforcement.
Programs running inside the Linux kernel apply process-aware network policy close to the traffic source.
Search algorithms · Go backend
An interactive Go and TypeScript application for configuring sliding puzzles, choosing a search algorithm, and following the solution step by step.
View repositoryWhat drew me in
A hands-on way to deepen my enthusiasm for Go: take the search algorithms I studied, implement them in a Go backend, and make their behavior visible through an interactive interface.
Inside the system
Users configure a puzzle, arrange tiles, and select a search strategy.
The backend accepts puzzle states and provides a clear API boundary around the solving engine.
Breadth-first, depth-first, and A* search demonstrate tradeoffs in memory use, exploration, and finding a solution.
The interface turns the computed solution path into a sequence users can follow step by step.
Application security · Developer tooling
A NestJS API that analyzes package definition files and retrieves known vulnerabilities through GitHub’s Security Advisories GraphQL API.
View repositoryWhat drew me in
My curiosity extends to the tools developers rely on every day. This project brings together backend API design and security to make dependency risks easier to investigate.
Inside the system
Package definition files supply the dependencies to inspect for known vulnerabilities.
A structured API parses input, validates requests, and coordinates advisory lookups.
GitHub’s Security Advisories GraphQL API supplies known vulnerability records for the packages under analysis.
Results connect affected dependencies with known advisories so developers can investigate and act.
Contact
Have a project, an idea, or just want to say hello? Email me or connect on LinkedIn.