Intelligent Systems
LLMs, RAG, agentic workflows, on-device inference, ML optimization, and AI-assisted engineering.
Zenova Systems is an independent engineering and applied research platform exploring intelligent software from embedded devices to cloud-connected systems.
Zenova brings together systems software, AI/ML, automotive platforms, cloud infrastructure, and emerging computing. The goal is to study difficult technical problems, build useful prototypes, and document lessons that can transfer across domains.
The work emphasizes practical architecture, measurable performance, reliability, and understanding how individual components behave as part of a complete system.
Zenova's interests span the layers where modern systems become most challenging.
LLMs, RAG, agentic workflows, on-device inference, ML optimization, and AI-assisted engineering.
C/C++, Rust, Linux, firmware, IPC, device services, concurrency, diagnostics, and performance.
AAOS, AOSP, HAL integration, BLE, CAN, telematics, infotainment, and connected vehicle architectures.
Google Cloud, Firebase, APIs, OTA, observability, backend systems, and secure device-to-cloud integration.
Quantum machine learning, QCNN experimentation, edge intelligence, and hybrid computing approaches.
Architecture notes, experiments, design tradeoffs, interview-level systems thinking, and reusable engineering patterns.
Zenova also highlights practical side projects that combine technology with everyday interests and useful experiences.
A practical camping companion with packing checklists, camping guides, activities, and outdoor resources designed to make trip preparation simpler.
See current engineering domains, research themes, and technical insights across the Zenova platform.