The Beginning
I started with curiosity for how software shapes daily life, then focused on clean interfaces and solid engineering foundations.
- Strong fundamentals in modern web architecture
- Focus on clarity-first product building
MY STORY
From curiosity to building intelligent systems.
I design practical AI-driven products with clean architecture and product thinking— blending modern engineering discipline with applied machine learning.
LLMsRAGAgentsMLOps
The Shift to AI
I moved deeper into AI/ML to build systems that are not only functional, but intelligently adaptive and useful in production.
- Practical model-to-product thinking
- System design mindset for reliability and scale
What I build today
I build intelligent web products by combining full-stack engineering with applied ML workflows and measurable UX outcomes.
- AI-powered applications and internal tools
- Production-ready APIs and maintainable codebases
- Data-informed iteration loops
What I’m exploring now
I’m currently focused on modern AI systems that connect retrieval, reasoning, and orchestration for real product impact.
- LLM apps and RAG pipelines
- Agent workflows and tool calling
- MLOps patterns for continuous improvement
MY APPROACH
How I build — principles that guide my work.
Reliability by Design
I architect with stability in mind from day one—clear contracts, resilient APIs, and maintainable abstractions.
Data-Informed Decisions
I use metrics and feedback loops to prioritize what matters, improve outcomes, and reduce product guesswork.
Human-Centered UX
Even technical systems should feel intuitive; I balance intelligence with usability and thoughtful interaction design.
Iterate to Production
I move from fast prototypes to production discipline through validation, refactoring, and pragmatic shipping velocity.
“Ship small, learn fast, and let the product prove the idea.”