AI Engineer • Full-Stack Developer • SaaS Builder • DevOps & Infrastructure • Systems Programming
I build software across AI, SaaS, infrastructure, and full-stack product engineering. My work includes LLM systems, model training and fine-tuning workflows, AI-powered applications, web platforms, backend services, automation, and deployment infrastructure.
I am currently going deeper into systems programming and embedded engineering, with a focus on how software interacts with hardware: computer architecture, firmware concepts, memory-mapped I/O (MMIO), registers, peripherals, low-level languages, and the interface between code, operating systems, chips, and physical devices.
- AI & LLM Engineering: building, training, fine-tuning, evaluating, and deploying LLM-powered systems, AI agents, and production model workflows.
- Full-Stack SaaS Development: designing and shipping web applications, APIs, backend services, dashboards, and product workflows.
- DevOps & Infrastructure: working with deployments, automation, CI/CD, environments, and production-oriented engineering practices.
- Systems & Embedded Learning: working with low-level software, firmware concepts, bare-metal programming, MMIO, device registers, peripherals, and performance-aware programming.
Approximate self-assessment for languages and assembly targets I am actively studying. I am currently strongest with x86/x86-64 compared to the other assembly targets.
| Language / Architecture | Progress |
|---|---|
| C++ | |
| Rust | |
| Fortran | |
| x86 / x86-64 Assembly | |
| ARM / AArch64 Assembly | |
| ARM Cortex-M Assembly | |
| RISC-V Assembly |
- Embedded systems and firmware engineering
- Bare-metal programming and driver-level software
- Computer architecture and low-level systems
- Memory-mapped I/O (MMIO), hardware registers, and peripheral control
- Operating system internals and hardware abstraction
- Systems programming with C and V while learning C++, Rust, Fortran, x86/x86-64 assembly, ARM Cortex-M, RISC-V, and ARM/AArch64
- Building reliable AI products from model layer to production infrastructure
I like understanding systems at every layer: from user-facing products and SaaS platforms, through backend services and deployment infrastructure, down to runtime behavior, operating systems, chips, and hardware-level interfaces.
I am especially interested in practical AI products, developer tools, infrastructure, systems software, and embedded projects that connect software closely to the hardware it runs on.