"I was interested in doing it, there was an opportunity, so I just did it." — Barbara Liskov
I like AGI… one linear layer at a time.
Systems engineer and fractional CTO based in Madurai, India.
Building BlackLoverTech — technology that builds, understands, and protects systems.
I build open-source infrastructure, developer tools, and systems software. I prefer small, auditable codebases, proven engineering, and simple architectures that are easy to understand and maintain.
Build from first principles. Reuse what works. Own what matters.
- Open source first. Prefer free, auditable software. Read the code before trusting it.
- Battle-tested over novel. Choose proven tools, libraries, and test suites over novelty for its own sake.
- Own the implementation. Build core components from scratch when doing so improves control, clarity, or performance — from parsers and encoders to hash tables and network stacks.
- Minimal runtime dependencies. Prefer single-binary tools with no external runtime dependencies.
- AI-first codebases. Design consistent, compact architectures that humans and LLMs can understand, navigate, and extend.
- Performance through simplicity. Optimize hot paths, minimize allocations, and verify improvements with reproducible benchmarks.
- Security by design. Reduce attack surfaces, understand trust boundaries, and make systems easier to audit.
- Ship, measure, iterate. Build practical solutions, validate them, and improve them in the open.
- Systems engineering: Linux, networking, operating systems, and infrastructure.
- Cloud & DevOps: Self-hosted platforms, deployment systems, automation, and observability.
- Virtualization: Firecracker MicroVMs and lightweight workload isolation.
- Developer tools: CLI applications, build systems, and standalone binaries.
- Security: System hardening, application security, and defensive engineering.
- AI & ML: Models, inference infrastructure, and the systems around them.
- IoT & embedded systems: Firmware, hardware integration, and connected devices.
- Open source: Contributing to existing projects and building tools that solve real problems.
Building infrastructure that is simple to operate, secure by design, and independent of unnecessary complexity — while exploring the intersection of systems engineering and AI.
Keep it simple. Keep it sovereign. Keep it running.