I design and build AI systems that transform unstructured data into reliable, structured decision workflows — focusing on real-world usability, not just model outputs.
🧠 I build AI systems, not just applications
⚙️ I design structured pipelines over raw LLM outputs
🔐 I focus on reliability, validation, and controlled reasoning
📊 I convert unstructured inputs into decision-ready systems
🌍 I design human-centered AI workflows for real environments
AI-powered recruitment intelligence platform that converts resumes into structured, explainable hiring decisions using multi-stage LLM pipelines.
→ Focus: AI reliability, scoring systems, validation architecture
→ Built as: structured decision intelligence system (not chatbot)
Voice-driven automation system that converts natural speech into structured financial invoices using transcription + LLM-based structuring pipelines.
→ Focus: workflow automation + SaaS evolution
→ Status: actively evolving system design
Interactive identity layer built with motion UI, custom cursor interaction, and modern frontend architecture.
→ Focus: personal branding + UI/UX engineering expression
I do not treat LLMs as standalone intelligence.
I design systems where:
→ Input is structured
→ Reasoning is constrained
→ Output is validated
→ Decisions are explainable
LLMs are components inside systems — not the system itself.
Frontend → React, HTML, CSS, JavaScript
Backend → Node.js, REST APIs
AI Layer → High-reasoning LLM APIs, structured prompting
Database → Supabase
Architecture → Multi-stage AI pipelines + validation systems
- Building reliable AI decision systems
- Improving LLM output consistency and structure
- Designing scalable full-stack AI products
- Moving prototypes toward production-ready systems
- Strengthening system architecture thinking
⚡ Building structured AI systems that work in real-world environments.